NDLI: VHR image change detection based on discriminative dictionary learning

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2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

ICASSP 2013 conference committee

Technical program committee

General chairs' message

Technical chair's overview

Future SPS conferences

Table of contents

Exploiting structural relationships in audio music signals using Markov Logic Networks

A discriminative approach to polyphonic piano note transcription using supervised non-negative matrix factorization

Does inharmonicity improve an NMF-based piano transcription model?

Automatic Music Transcription using row weighted decompositions

Unsupervised training of detection threshold for polyphonic musical note tracking based on event periodicity

Missing template estimation for user-assisted music transcription

A psychoacoustical preprocessing technique for virtual bass enhancement of the parametric loudspeaker

A timbre matching approach to enhance audio quality of psychoacoustic bass enhancement system

An ideal integrator for higher-order integrated wavetable synthesis

Efficient data adaption for musical source separation methods based on parametric models

Using voice suppression algorithms to improve beat tracking in the presence of highly predominant vocals

Music recommendation using hypergraphs and group sparsity

Informed Source Separation from compressed mixtures using spatial wiener filter and quantization noise estimation

Low bitrate informed source separation of realistic mixtures

Sound source separation based on non-negative tensor factorization incorporating spatial cue as prior knowledge

Variational EM for binaural sound-source separation and localization

Underdetermined instantaneous blind source separation of sparse signals with temporal structure using the state-space model

Unsupervised spatial dictionary learning for sparse underdetermined multichannel source separation

Robust beamforming using sensors with nonidentical directivity patterns

Numerical near field optimization of a non-uniform sub-band filter-and-sum beamformer

Binaural sound reproduction beamforming using spherical microphone arrays

Auto-localization in ad-hoc microphone arrays

An integration of source location cues for speech clustering in distributed microphone arrays

DOA-based microphone array postion self-calibration using circular statistics

Joint constrained maximum likelihood regression for overlapping speech recognition

The second ‘chime’ speech separation and recognition challenge: Datasets, tasks and baselines

Integrating noise estimation and factorization-based speech separation: A novel hybrid approach

Learnable low rank sparse models for speech denoising

Universal speech models for speaker independent single channel source separation

Using dynamic conditional random field on single-microphone speech separation

A perceptually constrained channel shortening technique for speech dereverberation

Blind reverberation time estimation by intrinsic modeling of reverberant speech

Noise-robust reverberation time estimation using spectral decay distributions with reduced computational cost

Finite-difference time domain method source calibration for hybrid acoustics modeling

Integrating finite difference schemes for scalar and vector wave equations

Approximate convolution using partitioned truncated singular value decomposition filtering

Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization

Group delay based melody monopitch extraction from music

Robust on-line algorithm for real-time audio-to-score alignment based on a delayed decision and anticipation framework

Audio-based guitar tablature transcription using multipitch analysis and playability constraints

SMC samplers for multiresolution audio sequence alignment

Off-line refinement of audio-to-score alignment by observation template adaptation

Interactive multimodal music transcription

Student's-t mixture model based multi-instrument recognition in polyphonic music

An open-source drum transcription system for Pure Data and Max MSP

Initialization-robust Bayesian multipitch analyzer based on psychoacoustical and musical criteria

Multiple hypotheses at multiple scales for audio novelty computation within music

Convex non-negative matrix factorization for automatic music structure identification

An effective, simple tempo estimation method based on self-similarity and regularity

Dual-layer bag-of-frames model for music genre classification

Advanced system options for binaural rendering of Ambisonic format

Kernel regression for Head-Related Transfer Function interpolation and spectral extrema extraction

Graph-based multi-sensor fusion for acoustic signal classification

Time-shifted principal component analysis based cue extraction for stereo audio signals

Sound field reproduction using multiple linear arrays based on wave field reconstruction filtering in helicalwave spectrum domain

Improvement using circular harmonics beamforming on reverberation problem of wave field reconstruction filtering

A psychoacoustic-based analysis-by-synthesis scheme for jointly encoding multiple audio objects into independent mixtures

Multichannel audio signal compression based on tensor decomposition

Application of particle filtering to an interaural time difference based head tracker for crosstalk cancellation

Directional coding of audio using a circular microphone array

Modeling head-related transfer functions via spatial-temporal Gaussian process

3D soundfield reproduction using higher order loudspeakers

Multizone soundfield reproduction using orthogonal basis expansion

Effectiveness of horizontal personal sound systems for listeners of variable heights

Towards optimal loudspeaker placement for sound field reproduction

Localization of virtual acoustic sources based on the Hough transform for sound field rendering applications

Some insights into farfield wideband beamformers in the presence of microphone mismatches

Improved tracking performance for distributed node-specific signal enhancement inwireless acoustic sensor networks

Design of a time-domain acoustic contrast control for broadband input signals in personal audio systems

Direction of arrival estimation for spherical microphone arrays by combination of independent component analysis and sparse recovery

Super-resolution sound field imaging with sub-space pre-processing

Fast and reliable TDOA assignment in multi-source reverberant environments

Error analysis of spherical harmonic soundfield representations in terms of truncation and aliasing errors

Speaker localization and tracking in the presence of sound interference by exploiting speech harmonicity

Spherical loudspeaker array beamforming in enclosed sound fields by MIMO optimization

Wireless communication integrated active noise control system for infant incubators

Stability of Residual Acoustic Noise Variance in active control of stochastic noise

Adaptive feedback ANC system using virtual microphones

A computational model for the estimation of localisation uncertainty

Derivative-free optimization of hearing aid parameters

Efficient individualization of hearing aid processed sound

Structural Similarity Analysis of Modulation for audio quality assessment

Selection of temporal windows for the computational prediction of masking thresholds

Improved online identification of acoustic MISO systems based on separated input signal components

A multichannel time-domain subspace approach exploiting multiple time-delays for acoustic channel equalization

Acoustic distance measurement based on phase interference using the cross-spectral method with adjacent microphones

Algorithms to improve listening in noise for cochlear implant users

Perturbation of room impulse responses and its application in robust listening room compensation

Sound source localization with binaural hearing aids using adaptive blind channel identification

Blind estimation of reverberation time based on spectro-temporal modulation filtering

A statistical approach to reverberation in non-diffusive rectangular rooms based on the image source model

Acoustic Geo-Sensing: Recognising cyclists' route, route direction, and route progress from cell-phone audio

Gait-based person identification by spectral, cepstral and energy-related audio features

Infinite kernel linear prediction for joint estimation of spectral envelope and fundamental frequency

Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering

Position estimation using a microphone and stereo loudspeaker with an audio-embedded hidden time synchronization signal

Traffic density state estimation based on acoustic fusion

Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

Derivative analysis of complex polynomial amplitude, complex exponential with exponential damping

Automatic acoustic siren detection in traffic noise by part-based models

The ERBlet transform: An auditory-based time-frequency representation with perfect reconstruction

Determining co-location using a sequential hypothesis test on patterns of silence

Classification of speech under stress and cognitive load in USAR operations

Improving efficiency and reliability of gunshot detection systems

Cheap beeps - Efficient synthesis of sinusoids and sweeps in the MDCT domain

A new bandwidth extension technology for MPEG Unified Speech and Audio Coding

G.722 annex D and G.711.1 Annex F - New ITU-T stereo codecs

A novel scalable audio coding scheme

Improved arithmetic coding for Time-Warped MDCT based audio coding

Spectral envelope estimation used for audio bandwidth extension based on RBF neural network

An expanded Mid/Side coding for 3D audio signal compression

Audio lossless coding/decoding method using basis pursuit algorithm

Parametric stereo coding scheme with a new downmix method and whole band inter channel time/phase differences

Multichannel object-based audio coding with controllable quality

A MDCT based harmonic spectral bandwidth extension method

Parametric decomposition of the spectral envelope

Sinusoidal component selection based on partial loudness criteria

Study of the optimal and simplified Kalman filters for echo cancellation

Intermittently-updated affine projection algorithm

Analysis of closed-loop acoustic feedback cancellation systems

Variationally diagonalized multichannel state-space frequency-domain adaptive filtering for acoustic echo cancellation

Multichannel acoustic echo suppression

Wave-domain loudspeaker signal decorrelation for system identification in multichannel audio reproduction scenarios

Nonlinear acoustic echo cancellation using feedback

A study of the MVDR filter for acoustic echo suppression

Active acoustic echo cancellation in spatial soundfield reproduction

Adaptive filtering exploiting band-limited property of sound field in the wave domain

On the eigenspace estimation for supervised multichannel system identification

On the performance of the robust acoustic echo cancellation system with decorrelation by sub-band resampling

Speech dereverberation based on Linear Prediction: An Acoustic Vector Sensor approach

A directional diffuse reverberation model for excavated tunnels in rock

A super-resolution beamforming algorithm for spherical microphone arrays using a compressed sensing approach

Spherical harmonic domain noise reduction using an MVDR beamformer and DOA-based second-order statistics estimation

An informed LCMV filter based on multiple instantaneous direction-of-arrival estimates

MMSE-based source extraction using position-based posterior probabilities

An informed spatial filter for dereverberation in the spherical harmonic domain

Blind compensation of inter-channel sampling frequency mismatch with maximum likelihood estimation in STFT domain

Noise reduction in dual-microphone mobile phones using a bank of pre-measured target-cancellation filters

Spatial and coherence cues based time-frequency masking for binaural reverberant speech separation

Robust low-complexity multichannel equalization for dereverberation

Tooth materials monitoring scheme for dental operations using cutting sounds

Automatic classification of breathing sounds during sleep

Shannon Entropy based on the S-Transform Spectrogram applied on the classification of heart sounds

Investigating the speech characteristics of suicidal adolescents

Efficient database pruning for large-scale cover song recognition

Modelling drum patterns with weighted finite-state transducers

Perceptual headphone equalization for mitigation of ambient noise

An improved virtual analog model of the Moog ladder filter

Singing voice timbre classification of Chinese popular music

Identification of cover songs using information theoretic measures of similarity

Fundamental frequency alignment vs. note-based melodic similarity for singing voice assessment

Evaluating automatically estimated chord sequences

Single hydrophone passive acoustic sperm whale range and depth estimation

Methods for classification of nocturnal migratory bird vocalizations using Pseudo Wigner-Ville Transform

A sparse representation-based classifier for in-set bird phrase verification and classification with limited training data

A robust automatic bird phrase classifier using dynamic time-warping with prominent region identification

Bird phrase segmentation by entropy-driven change point detection

N-gram extension for bag-of-audio-words

Segmentation-by-classification system based on factor analysis

Sleepiness detection from speech by perceptual features

Water sound recognition based on physical models

On-line genre classification of TV programs using audio content

Temporal coding of local spectrogram features for robust sound recognition

Kernel discriminant analysis for environmental sound recognition based on acoustic subspace

Analysis of acoustic-semantic relationship for diversely annotated real-world audio data

AudioPrint: An efficient audio fingerprint system based on a novel cost-less synchronization scheme

Perceptually motivated temporal modeling of footsteps in a cross-environmental detection task

Task-driven attentional mechanisms for auditory scene recognition

Unsupervised hierarchical structure induction for deeper semantic analysis of audio

Two-class verifier framework for audio indexing

Weighted double sideband modulation toward high quality audible sound on parametric loudspeaker

Online REPET-SIM for real-time speech enhancement

Denoising deep neural networks based voice activity detection

A comparative study on sparsity penalties for NMF-based speech separation: Beyond LP-norms

Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation

Exemplar-based joint channel and noise compensation

Prediction based filtering and smoothing to exploit temporal dependencies in NMF

Audio restoration from multiple copies

Interactive refinement of supervised and semi-supervised sound source separation estimates

Score informed audio source separation using constrained nonnegative matrix factorization and score synthesis

An efficient zero phase noise reduction method for impact noise with damped oscillation

Collaborative audio enhancement using probabilistic latent component sharing

Optimizing coherent demodulation for improved separation of overlapping sources

An adaptive time-frequency resolution framework for single channel source separation based on non-negative tensor factorization

Fast dynamic magnetic resonance imaging using tagging RF pulses

Blind restoration of confocal microscopy images in presence of a depth-variant blur and Poisson noise

Ordered subsets with momentum for accelerated X-ray CT image reconstruction

Fourier domain beamforming for medical ultrasound

Robust common carotid artery lumen detection in B-mode ultrasound images using local phase symmetry

Robust 2-D/3-D registration of CT volumes with contrast-enhanced X-ray sequences in electrophysiology based on a weighted similarity measure and sequential subspace optimization

Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals

Online estimation of EMG signals model based on a renewal process

Multiple dipolar sources localization for MEG using Bayesian particle filtering

Neural decoding of movement targets by unsorted spike trains

Modelling brain cortical connectivity using diffusion adaptation

Non-linear complementary filter based upper limb motion tracking using wearable sensors

MV-PURE estimator of dipole source signals in EEG

Compressed sensing and energy-aware independent component analysis for compression of EEG signals

Joint spatial-temporal filter design for analysis of motor imagery EEG

A joint tensor diagonalization approach to active data selection for EEG classification

Separable common spatio-spectral pattern algorithm for classification of EEG signals

Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient

Exploiting sparsity and rank-deficiency in dynamic MRI reconstruction

Bayesian bold and perfusion source separation and deconvolution from functional ASL imaging

Collaborative denoising of multi-subject fMRI data

Segmentation of magnetic resonance images in presence of severe intensity inhomogeneities

Automated segmentation of breast fat-water MR images using empirical analysis

Estimation of the myocardium rotation from standard cine Magnetic Resonance Imaging sequences

Independent component analysis on Lie groups for multi-object analysis of first episode depression

Bounded asymmetric mixture model for medical image segmentation

The Pairwise Elastic Net support vector machine for automatic fMRI feature selection

Gait analysis using 3D motion reconstruction with an activity-specific tracking protocol

Prediction of influenza rates by particle filtering

Adaptive third-order Volterra filter for detection and tracking of nonlinear oscillations in ultrasound echo data

Compressed Digital Beamformer with asynchronous sampling for ultrasound imaging

Hybrid adaptive/nonadaptive beamforming for ultrasound imaging

Motion artifact elimination algorithm with eigen-based clutter filter for color Doppler processing

Vessel centerlines extraction from Fundus Fluorescein Angiogram based on Hessian analysis of directional curvelet subbands

Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer

Intra-retinal layer segmentation of optical coherence tomography using diffusion map

Beam hardening correction via mass attenuation discretization

Deformable models for random small-size objects: Case of lung nodules in CT tomography

Extraction of tongue contour in X-ray videos

Fast fan/parallel beam CS-based low-dose CT reconstruction

New bimodal scattered radiation tomographic imaging with attenuation and electron density correction algorithm

Image segmentation techniques for stem cell tracking

Fast aberrant crypt foci segmentation on the GPU

Robust retinal image registration using expectation maximisation with mutual information

A multiplication-free framework for signal processing and applications in biomedical image analysis

Symmetry-based detection of nuclei in microscopy images

Baseline regularized sparse spatial filters

Incorporation of a language model into a brain computer interface based speller through HMMs

Score-based adaptive training for P300 speller Brain-Computer Interface

A modified watermark synchronisation code for robust embedding of data in DNA

Variable selection for a mixed population applied in proteomics

Parallel architecture and hardware implementation of pre-processor and post-processor for sequence assembly

The neurogram matching similarity index (NMSI) for the assessment of similarities among neurograms

Sparse biologically-constrained optimal perturbation of gene regulatory networks

Identification of genes consistently co-expressed in multiple microarray datasets by a genome-wide Bi-CoPaM approach

Non-negative matrix factorization for single-channel EEG artifact rejection

Phase synchronization analysis of EEG channels using bivariate empirical mode decomposition

Maximum dependency and minimum redundancy-based channel selection for motor imagery of walking EEG signal detection

Automated detection of paroxysmal gamma waves in meditation EEG

Vocal segment estimation in music pieces based on collaborative use of EEG and audio features

A new approach to the fusion of EEG and MEG signals using the LCMV beamformer

Towards an EEG-based biomarker for Alzheimer's disease: Improving amplitude modulation analysis features

Joint BSS as a natural analysis framework for EEG-hyperscanning

Effect-size-based electrode and feature selection for emotion recognition from EEG

Improved estimation of EEG evoked potentials by jitter compensation and enhancing spatial filters

A bag-of-words model for task-load prediction from EEG in complex environments

Error entropy based adaptive kernel classification for non-stationary EEG analysis

Regularized LDA based on separable scatter matrices for classification of spatio-spectral EEG patterns

Time invariant multi electrode averaging for biomedical signals

A non-Gaussian LCMV beamformer for MEG source reconstruction

Finite rate of innovation based modeling and compression of ECG signals

Fiducial points extraction and characteristicwaves detection in ECG signal using a model-based bayesian framework

Sequential estimation of gating variables from voltage traces in single-neuron models by particle filtering

Hyperspherical phase synchrony measure for quantifying global synchronization in the brain

Subspace analysis for characterizing dynamic functional brain networks

Subject-specific channel selection for classification of motor imagery electroencephalographic data

Consistent estimation of the hemodynamic response function in fNIRS

Robust EEG emotion classification using segment level decision fusion

A multiscale mean shift localization approach for robust extraction of heart sounds in respiratory signals

Discrimination between healthy subjects and patients using lung sounds from multiple auscultation points

Automatic classification of systolic heart murmurs

Performance study of compressive sampling for ECG signal compression in noisy and varying sparsity acquisition

Semi-blind independent component analysis of functional MRI elicited by continuous listening to music

ℓ2 optimized predictive image coding with ℓ∞ bound

Learning a tree-structured dictionary for efficient image representation with adaptive sparse coding

Graph-based representation and coding of multiview geometry

On the application of multivariate kernel density estimation to image error concealment

On a practical approach to source separation over finite fields for network coding applications

Two layer lossless coding of HDR images

Non-local patch regression: Robust image denoising in patch space

Image denoising using NL-means via smooth patch ordering

Benefits of consistency in image denoising with steerable wavelets

An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor

Low-rate Poisson intensity estimation using multiplexed imaging

Directional hypercomplex diffusion

Intra prediction mode coding for scalable HEVC

Robust Rotational Motion Estimation for efficient HEVC compression of 2D and 3D navigation video sequences

Fast inter mode decision using residual homogeneity in H.264/AVC

Early termination for TZSearch in HEVC Motion Estimation

Motion estimation for video coding based on sparse representation

An optimally scalable and cost-effective fractional-pixel motion estimation algorithm for HEVC

Video frame interpolation via weighted robust principal component analysis

A non-negative sparse promoting algorithm for high resolution hyperspectral imaging

Depth map super-resolution via Markov Random Fields without texture-copying artifacts

Hybrid DCT-Wiener-based interpolation via learnt Wiener filter

Occlusion handling frame rate up-conversion

Manifold regularized sparse support regression for single image super-resolution

Local radius index - a new texture similarity feature

Singular point detection based on orientation filed regularization and poincaré index in fingerprint images

A robust CSS corner detector based on the turning angle curvature of image gradients

Bilateral edge detectors

Hough transform with dynamic thresholding for robust and real-time detection of complex curves in images

A vote of confidence based interest point detector

Natural scene segmentation based on a stochastic texture region merging approach

A detail-preserving mixture model for image segmentation

Random walker watersheds: A new image segmentation approach

Image segmentation by a robust Modified Gaussian Mixture Model

An effective fuzzy clustering algorithm for image segmentation

Energy minimization-based mixture model for image segmentation

An efficient retrieval strategy for wavelet-based quantized images

K-centroids-based supervised classification of texture images: Handling the intra-class diversity

Relevance feedback for satellite image change detection

A video copy detection algorithm combining local feature's robustness and global feature's speed

Robust fisher codes for large scale image retrieval

On the interoperability of local descriptors compression

Disparity estimation of misaligned images in a scanline optimization framework

Multiview depth map enhancement by variational bayes inference estimation of Dirichlet mixture models

De-noising of distance maps sensed by time-of-flight devices in poor sensing environment

Method for enhancing low quality depth maps for 3D reconstruction on a embedded platform

Quantization error reduction in depth maps

Depth-map super-resolution for asymmetric stereo images

ML estimation of wavelet regularization hyperparameters in inverse problems

Image inpainting using LLE-LDNR and linear subspace mappings

Enhancing with deconvolution the metrological performance of the grid method for in-plane strain measurement

Improved adaptive color embedding and recovery using DC level shifting

A rank selection of MV-PURE with an unbiased predicted-MSE criterion and its efficient implementation in image restoration

Image colorization using sparse representation

Boosted dictionaries for image restoration based on sparse representations

An image colorization algorithm using sparse optimization

Image restoration from multiple copies: A GMM based method

Effective color correction via chromaticity adjustment and least square approximation

Fast non-local filtering by random sampling: It works, especially for large images

Image deblurring using maps of highlights

High dynamic range image acquisition using flash image

Removing out-of-focus blur from similar image pairs

Edge-preserving nonnegative hyperspectral image restoration

Searching for the optimal curvelet tiling

Postprocessing of block-coded videos for deflicker and deblocking

A new generalized thresholding algorithm for inverse problems with sparsity constraints

Efficient blind separation of reflection layers with nonparametric transformations

A novel compressive sensing approach to simultaneously acquire color and near-infrared images on a single sensor

View interpolation confidence-aided compressed sensing of multiview images

An efficient augmented Lagrangian algorithm for graph regularized sparse coding in clustering

Automatic image annotation via local sparse coding

A semantic graph-based algorithm for image search reranking

An efficient graph-based visual reranking

Community maps for joint visualization of images and descriptors

Forest hashing: Expediting large scale image retrieval

Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow

SSIM-based adaptive quantization in HEVC

Quadratic ρ-domain based rate control algorithm for HEVC

Improved sample adaptive offset for HEVC

Interpolation filter design in HEVC and its coding efficiency - complexity analysis

Enhanced inter-prediction using Merge Prediction Transformation in the HEVC codec

Screen content coding for HEVC using edge modes

A rate control algorithm for HEVC with hierarchical GOP structures

Tensor video coding

Standard compliant flicker reduction method with PSNR loss control

A recursive extrapolation approach to intra prediction in video coding

Energy-constrained real-time H.264/AVC video coding

Content adaptive complexity reduction scheme for quality/fidelity scalable HEVC

Multi-loop scalable video codec based on high efficiency video coding (HEVC)

Detecting group interactions by online association of trajectory data

Variational Bayesian and belief propagation based data association for multi-target tracking

Robust visual tracking via a compact association of principal component analysis and canonical correlation analysis

Recursive Kernel Density Estimation for modeling the background and segmenting moving objects

An Iterated Extended Kalman Filter for 3D mapping via Kinect camera

Distance Map of Various Weights: A new feature for adaptive object tracking

MULTI-STAGE OMP sparse coding using local matching pursuit atoms selection

Robust object tracking using a context based on the relation of object and background

Multiple-kernel based vehicle tracking using 3-D deformable model and license plate self-similarity

Shadow touching for interactive projectors

Robust visual tracking via part-based sparsity model

Aggregated segmentation of fish from conveyor belt videos

Interactive media control using natural interaction-based Kinect

Active learning based automatic face segmentation for kinect video

Dictionary Learning for Incoherent Sampling with application to plenoptic imaging

Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments

3D motion in visual saliency modeling

New content-based features for the distinction of violent videos and martial arts

Crosstalk modeling, analysis, simulation and cancellation in passive-type stereoscopic LCD displays

Ray-space based camera spacing correction via convex optimization

Improving action classification with volumetric data using 3D morphological operators

Video retargeting based frame-compatible stereo video coding

Expansion hole filling in depth-image-based rendering using graph-based interpolation

Geo-registering 3D point clouds to 2D maps with scan matching and the Hough Transform

Dictionary based image enhancement for integrated circuit imaging

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

High dynamic range image tone mapping by maximizing a structural fidelity measure

Comparative image quality assessment using free energy minimization

A study on using spectral saliency detection approaches for image quality assessment

A no-reference perceptual texture regularity metric

Adaptive cooperative tracking based on multi-graph embedding and Markov Random Field

Perceptually relevant energy function for seam carving

Improving color constancy by saturation weighting

Color estimation under Poisson noise

High precision discretization model for coded aperture-based compressive spectral imaging

Object detection using hierarchical graph-based segmentation

Challenging eye segmentation using Triplet Markov spatial models

Detecting text in floor maps using Histogram of Oriented Gradients

Image similarity measurement from sparse reconstruction errors

Signal rich art image — A new tool for automatic identification and data capture applications using mobile phones

Text detection in born-digital images using multiple layer images

Perfect reconstructable decimated two-dimensional empirical mode decomposition filter banks

A robust fusion scheme for multifocus images using sparse features

Illumination-invariant representation for natural colour images through SIFT matching

Towards optimal object bank for scene classification

Fast and improved hand classification using dimensionality reduction and test set reduction

A geometric framework for registration of sparse images

Homography estimation using local affine frames

Fast local stereo matching using two-level adaptive cost filtering

Robust VHR image change detection based on local features and multi-scale fusion

Indoor frame recovering via line segments refinement and voting

Efficient graph based spatial face context representation and matching

K-NN search using local learning based on regression for neighbor embedding-based image prediction

Content adaptive in-loop depth map filter for HEVC based 3DV coding

A saliency-based rate control for people detection in video

Residual DPCM for lossless coding in HEVC

M-channel multiple description coding based on uniformly offset quantizers with optimal deadzone

Improving the efficiency of predictive coders via adaptive multiple predictor cooperation

Designing anaglyphs with minimal ghosting and retinal rivalry

H.264 compressed video classification using Histogram of Oriented Motion Vectors (HOMV)

QP initialization and interview MAD prediction for rate control in HEVC-based multi-view video coding

Joint source-channel coding of 3D video using multiview coding

Error-resilient delivery of Region of interest video using Multiple Representation Coding

Oversampled noisy binary image sensor

Sparse seismic imaging using variable projection

Analysis of patch-based similarity metrics: Application to denoising

Spatial-awareness spectral embedding (SASE) for robust shape matching

Sparse representation for outliers suppression in semi-supervised image annotation

Fast block-based algorithms for connected components labeling

A near optimal projection for Sparse representation based classification

Illumination invariant intensity-based image registration using chaos theory

Color saliency model based on mean shift segmentation

Change detection on SAR images by a parametric estimation of the KL-divergence between Gaussian Mixture Models

Image co-saliency detection by propagating superpixel affinities

A circle detection approach based on Radon Transform

Multi-Component/Multi-Model AAM framework for face image modeling

Hyperspectral abundance estimation for the generalized bilinear model with joint sparsity constraint

On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case

A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging

A robust test for nonlinear mixture detection in hyperspectral images

Sparsity promoting dimensionality reduction for classification of high dimensional hyperspectral images

Joint multichannel pansharpening for multispectral imagery

A novel endmember, fractional abundance, and contrast model for hyperspectral imagery

Cramer-Rao bounds and instrument optimization for slitless spectroscopy

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression

SAR autofocus based on minimum entropy

A hybrid approach for tree classification in airborne LIDAR data

Using maximum consistency context for multiple target association in wide area traffic scenes

Exploiting structural complexity for robust and rapid hyperspectral imaging

Face hallucination via weighted sparse representation

Multi-view face hallucination based on sparse representation

Random walk models for geometry-driven image super-resolution

Super-Resolution reconstruction of High Dynamic Range images with perceptual weighting of errors

Arbitrary factor image interpolation using geodesic distance weighted 2D autoregressive modeling

Compact and coherent dictionary construction for example-based super-resolution

Sub-spot localization for spatial super-resolved LIDAR

Scalable image representation using improved retargeting pyramid

A nonlinear dictionary for image reconstruction

An investigation into aliasing in images recaptured from an LCD monitor using a digital camera

Single image-based depth estimation using dual off-axis color filtered aperture camera

Efficient image resampling for multiview displays

Seismic multiple removal with a primal-dual proximal algorithm

Quasi-Random Search algorithm for fast motion estimation

Optical flow for compressive sensing video reconstruction

Salient-motion-heuristic scheme for fast 3D optical flow estimation using RGB-D data

Subframe video synchronization by matching trajectories

SILK: Scale-space integrated Lucas-Kanade image registration for super-resolution from video

Multi-modal topic unit segmentation in videos using conditional random fields

Generating fluent tubes in video synopsis

On-line boosting based real-time tracking with efficient HOG

Re-identifying people in the wild

Dual-layer particle filtering for simultaneous multiple objects detection and tracking

Multi-object tracking using sparse representation

A two layered data association approach for ball tracking

Self-organized and scalable camera networks for systematic human tracking across nonoverlapping cameras

Online structured hough forests for visual tracking

Disguised face recognition via local phase quantization plus geometry coverage

Age estimation from human body images

Makeup-robust face verification

Chimpanzee identification using global and local features

Patch-wise low-dimensional probabilistic linear discriminant analysis for Face Recognition

On the vulnerability of face recognition systems to spoofing mask attacks

Activity-based human identification

Liveness detection using frequency entropy of image sequences

Dynamic time warping for gesture-based user identification and authentication with Kinect

Human detection using Discriminative and Robust Local Binary Pattern

Construction of an orthonormal complex multiresolution analysis

Compressive template matching on multispectral data

Tandem HMM with convolutional neural network for handwritten word recognition

Learning weighted Hamming distance for binary descriptors

Dynamic texture recognition using enhanced LBP features

Inspection of specular surfaces using optimized M-channel wavelets

Face detection in mobile phones using Co-occurrence of adjacent Local Binary Patterns

Combining sparse appearance features and dense motion features via random forest for action detection

Designing relevant features for visual speech recognition

Efficient supervised dimensionality reduction for image categorization

Extraction and alignment evaluation of motion beats for street dance

Appearance based object tracking in stereo sequences

Variational Bayesian inference for stereo object tracking

High efficient contrast enhancement using parametric approximation

Color facial image denoising based on rpca and noisy pixel detection

Wavelength-adaptive image formation model and geometric classification for defogging unmanned aerial vehicle images

Example-based brightness and contrast enhancement

Dark channel prior-based spatially adaptive contrast enhancement for back lighting compensation

Single image haze removal with WLS-based edge-preserving smoothing filter

Kernel smoothing for jagged edge reduction

An integer tone mapping operation for hdr images expressed in floating point data

A dehazing algorithm using dark channel prior and contrast enhancement

A generic demosaicing algorithm based on a diffusion model

3D rotational video stabilization using manifold optimization

Hybrid component substitution and wavelet based image fusion

Compressive sensing-based image denoising using adaptive multiple sampling and optimal error tolerance

Adaptive deblocking and deringing of H.264/AVC video sequences

Data storage time sensitive ECC schemes for MLC NAND Flash memories

Soft-decision decoding with cell to cell interference removed signal in nand flash memory

Reduced-complexity binary-weight-coded associative memories

Efficient vlsi implementation of reduced-state sequence estimation for wireless communications

A sub-100-milliwatt dual-core HOG accelerator VLSI for real-time multiple object detection

A compact programmable analog classifier using a VMM + WTA network

Soft-thresholding Orthogonal Matching Pursuit for efficient signal reconstruction

Indoor 3D navigation and positioning of vehicles in multi-storey parking garages

A speech emotion recognition framework based on latent Dirichlet allocation: Algorithm and FPGA implementation

Light curtain localization via compressive sensing

Testbed for non-coherent zero-feedback distributed beamforming

Dynamically generating FFT code on mobile devices

An RNS-based architecture targeting hardware accelerators for modular arithmetic

Particle state compression scheme for centralized memory-efficient particle filters

On the contention-free and spread characteristics of serially-pruned interleavers

Brute-force search of fast convolution algorithms

Finite-precision error modeling using affine arithmetic

A multi-resolution saliency framework to drive foveation

Hardware-driven compressive sampling for fast target localization using single-chip UWB radar sensor

Cycle efficient bit rate matching for LTE-a with insructions support

Data memory optimization in LTE downlink

Efficient task assignment and scheduling for MPSoC DSPS with VS-SPM considering concurrent accesses through data allocation

Static and quasi-static compositions of stream processing applications from dynamic dataflow programs

Cost-effective scalable QC-LDPC decoder designs for non-volatile memory systems

Accelerating computer vision algorithms using OpenCL framework on the mobile GPU - A case study

41.7BN-pixels/s reconfigurable intra prediction architecture for HEVC 2560×1600 encoder

4×4/8×8/12×12 reconfigurable MIMO detector on multi-core DSP based on Eigen decomposition of dataflow graph

A parallel implementation method of FFT-based full-search block matching algorithms

A novel and efficient multi-resolution channelizer for software defined radio

Architecture optimizations for BP polar decoders

Fast PCA-based face recognition on GPUs

Programmable lowpower implementation of the HEVC Adaptive Loop Filter

Processor based 20Mhz 4×4 Cat-5 LTE MIMO receiver with advanced detectors

A fast and efficient sift detector using the mobile GPU

Implementation trade-offs for linear detection in large-scale MIMO systems

GPU based implementation of recursive digital filtering algorithms

Portable parallel kernels for high-speed beamforming in synthetic aperture ultrasound imaging

Hardware-efficient stereo estimation using a residual-based approach

Architectures for digital filters using stochastic computing

Depth-based posture recognition by radar and vision fusion for real-time applications

Simplified floating-point division and square root

Adaptive filter based low complexity digital intensive harmonic rejection for SDR receiver

SNR efficient approach for the design of Hybrid Filter Bank A/D converters

Comparison of different parallel implementations for deblocking filter of HEVC

A low-power VGA full-frame feature extraction processor

Statistical analysis of algorithmic noise tolerance

Energy-efficient detection system in time-varying signal and noise power

Real-time hardware implementation of multi-resolution image blending

Configurable, resource-optimized FFT architecture for OFDM communication

On-chip implementation of memory mapping algorithm to support flexible decoder architecture

Soft-core stream processing on FPGA: An FFT case study

HD video decoding scheme based on mobile heterogeneous system architecture

Digital background calibration for pipelined ADCs

Processor architecture for software implementation of multi-sector G-RAKE receivers for HSUPA wireless infrastructure

Receive signal processing for OFDM-based radar imaging

Detection performance analysis of an ultrasonic presence sensor

An auto-focusing noise suppressor for cellphone movies based on peak preservation and phase randomization

A robust signal-flow architecture for cooperative vehicle density control

ICA-based acceleration of probabilistic latent component analysis for mass spectrometry-based explosives detection

Anomaly detection of motors with feature emphasis using only normal sounds

Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM

A behavior cluster based availability prediction approach for nodes in distribution networks

Model-based QoE prediction to enable better user experience for video teleconferencing

Two dimensional color calibration for four primary displays

Towards a clinical tool for automatic intelligibility assessment

Computation of parameters in NMR using integral transforms: Tapered areas

Overlapped-speech detection with applications to driver assessment for in-vehicle active safety systems

Transient disturbance detection for power systems with a general likelihood ratio test

Sparse signal model for ultrasonic nondestructive evaluation of CFRP composite plates

Adaptive frequency estimation of three-phase power systems with noisy measurements

Semi-blind automatic temporal registration for video watermarking systems

Steganalysis in resized images

Geo-location estimation from Electrical Network Frequency signals

On secure distributed storage under data theft

On the design of an efficient encryption-then-compression system

Kernel collaborative representation-based classifier for face recognition

Information alignment for mitigating jamming in wireless relay networks

Phase warping and differential scrambling attacks against OFDM frequency synchronization

Optimal transceiver design for wiretap channels with side information

Secrecy sum-rates with regularized channel inversion precoding under imperfect CSI at the transmitter

Mobile jammers for secrecy rate maximization in cooperative networks

An information theoretic framework for energy efficient secrecy

Joint null-space beamforming and jamming to secure af relay systems with individual power constraint

Rating systems for enhanced cyber-security investments

Robust scareware image detection

Optimal distributed detection in the presence of Byzantines

Finding an infection source under the SIS model

A physical layer authentication scheme for countering primary user emulation attack

Probabilistic threat propagation for malicious activity detection

A novel quantization-based watermarking approach invariant to gain attack

Multivariate gaussian model for designing additive distortion for steganography

Permutation codes and steganography

Maximizing privacy in Variable Bit rate Coding

Privacy region protection for H.264/AVC by encrypting the intra prediction modes without drift error in I frames

On optimal decisions in an introduction-based reputation protocol

Nowhere to hide: Exploring user-verification across Flickr accounts

Robust face recognition using trimmed linear regression

Automated identification of Relatively Permanent Pigmented or Vascular Skin Marks (RPPVSM)

Gait recognition using Sparse Grassmannian Locality Preserving Discriminant Analysis

A keypoint descriptor for alignment-free fingerprint matching

Open-set semi-supervised audio-visual speaker recognition using co-training LDA and Sparse Representation Classifiers

Synthetic speech detection based on selectedword discriminators

Design of a Hamming-distance classifier for ECG biometrics

Blind detection of electronic disguised voice

ENF analysis on recaptured audio recordings

Forensic sensor pattern noise extraction from large image data set

Block convergence in repeated transform coding: JPEG-100 forensics, carbon dating, and tamper detection

Detection of temporal interpolation in video sequences

Pixel estimation based video forgery detection

Anti-forensics of median filtering

Optimal counterforensics for histogram-based forensics

Antiforensics attacks to Benford's law for the detection of double compressed images

A variational approach to JPEG anti-forensics

Concealability-rate-distortion tradeoff in image compression anti-forensics

Spoofing countermeasures to protect automatic speaker verification from voice conversion

Active content fingerprinting: Shrinkage and lattice based modulations

Regularized Adaboost for content identification

Learning overcomplete sparsifying transforms for signal processing

Fitting sparse Gaussian function mixtures on power spectra

Sparse hidden Markov models for purer clusters

Hierarchical sparse modeling using Spike and Slab priors

Simultaneous tracking and sparse calibration in ground sensor networks using evidence approximation

Centrality-constrained graph embedding

Inference of mobility patterns via Spectral Graph Wavelets

Multi-view anchor graph hashing

Capturing group variability using IVA: A simulation study and graph-theoretical analysis

Efficient algorithm for rational kernel evaluation in large lattice sets

Distributed online learning of the shortest path under unknown random edge weights

Random features for Kernel Deep Convex Network

Direct product based deep belief networks for automatic speech recognition

Deep stacking networks for information retrieval

Non-negative dynamical system with application to speech and audio

Bayesian semi-supervised audio event transcription based on Markov indian buffet process

Towards a universal representation for audio information retrieval and analysis

Multi-target tracking applied to evolutionary clustering

High-dimensional sequence transduction

Filter bank Kernel Learning for nonstationary signal classification

Attention based temporal filtering of sensory signals for data redundancy reduction

Dynamic Bayesian activity modeling in video via multi-feature integration

Sparse autoregressive model estimation for learning granger causality in time series

Separable lattice 2-D HMMS introducing state duration control for recognition of images with various variations

Map-assisted Kalman filtering

JaCHMM: A Java-based conditioned Hidden Markov Model library

A randomly perturbed infomax algorithm for blind source separation

A Bounded Component Analysis approach for the separation of convolutive mixtures of dependent and independent sources

From basis components to complex structural patterns

Tensor completion throughmultiple Kronecker product decomposition

Permutation-free convolutive blind source separation via full-band clustering based on frequency-independent source presence priors

Independent vector analysis, the Kotz distribution, and performance bounds

Algorithms for Markovian source separation by entropy rate minimization

Random projections: A remedy for overfitting issues in time series prediction with echo state networks

Subspace clustering with dense representations

Subspace clustering via thresholding and spectral clustering

The generalized lasso is reducible to a subspace constrained lasso

Convex approximation of the NP-hard search problem in feature subset selection

Nearest-Neighbor distributed learning under communication constraints

Distributed optimization via adaptive regularization for large problems with separable constraints

Smoothed SimCO for dictionary learning: Handling the singularity issue

Tradeoffs in improved screening of lasso problems

A generative semi-supervised model for multi-view learning when some views are label-free

The 2-codeword screening test for lasso problems

End-to-end learning of parsing models for information retrieval

Bi-alternating direction method of multipliers

Online multi-label learning with accelerated nonsmooth stochastic gradient descent

Lp-regularized optimization by using orthant-wise approach for inducing sparsity

An enhanced splitting-while-merging algorithm with finite mixture models

Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors

Lasso screening with a small regularization parameter

Bayesian multi-subject common spatial patterns with Indian Buffet process priors

Map-based estimation of the parameters of a Gaussian Mixture Model in the presence of noisy observations

Bounds for Bayesian network classifiers with reduced precision parameters

Recursive Gaussian process regression

Online logistic regression on manifolds

Locality preserving KSVD for nonlinear manifold learning

Extracting deep bottleneck features using stacked auto-encoders

Models with products of Dirichlet processes

Iterative orthonormalized partial least squares with sparsity constraints

Three structural results on the lasso problem

Simplified alternating-direction message passing for dual MAP LP-relaxation

Proximal alternating-direction message-passing for MAP LP relaxation

Recognizing human actions by BP-AdaBoost algorithm under a hierarchical recognition framework

Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring

Maximum discriminant margin transform of discriminant functions

Large-scale malware classification using random projections and neural networks

Discriminative and compact dictionary design for Hyperspectral Image classification using learning VQ framework

Hierarchical Classification Fusion framework

Performance of linear discriminant analysis in stochastic settings

Hierarchical Bayesian learning for electrical transient classification

Multimodal music emotion classification using AdaBoost with decision stumps

Competitive and online piecewise linear classification

Efficient monte carlo optimization for multi-label classifier chains

Classification with minimum expected error over an uncertainty class of Gaussian distributions

Image recognition based on separable lattice trajectory 2-D HMMS

A heterogeneous dictionary model for representation and recognition of human actions

Weight optimization and layered clustering-based ECOC

Facial action unit prediction under partial occlusion based on Error Weighted Cross-Correlation Model

Accelerometer-based activity recognition on a mobile phone using cepstral features and quantized gmms

Detection and classification of explosive substances in multi-spectral image sequences using linear subspace matching

Adaptive feature split selection for co-training: Application to tire irregular wear classification

Non-rigid 3D shape recognition via dictionary learning

Detecting stimulus driven changes in functional brain connectivity

VHR image change detection based on discriminative dictionary learning

On rectified linear units for speech processing

Modeling magnetic fields using Gaussian processes

Low-dimensional models for missing data imputation in road networks

Speaker clustering using vector representation with long-term feature for lecture speech recognition

Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization

A classification scheme for ‘high-dimensional-small-sample-size’ data using soda and ridge-SVM with microwave measurement applications

Adaptive thresholding for multi-label SVM classification with application to protein subcellular localization prediction

Incorporating covariance information in one class support vector classification

An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces

HMM based pyramid match kernel for classification of sequential patterns of speech using support vector machines

A new one-class SVM for anomaly detection

Kernel recurrent system trained by real-time recurrent learning algorithm

Kernel-based tensor partial least squares for reconstruction of limb movements

Metric based Gaussian kernel learning for classification

Adaptive kernel canonical correlation analysis algorithms for maximum and minimum variance

Energy-efficient design of real-time stream mining systems

Distributed media-aware scheduling for P2P streaming with Network Coding

A dynamic system model of time-varying subjective quality of video streams over HTTP

Feedback-driven network coding for cooperative video streaming

Convergence analysis of consensus belief functions within asynchronous ad-hoc fusion networks

Exploring and visualizing tag relationships in photo sharing websites based on distributional representations

Using The Voice Spectrum For Improved Tracking Of People In A Joint Audio-Video Scheme

Audio constrained particle filter based visual tracking

Movie synchronization by audio landmark matching

Spatial and temporal alignment of multimodal human speech production data: Real time imaging, flesh point tracking and audio

Probabilistic dance performance alignment by fusion of multimodal features

Speaker trait characterization in web videos: Uniting speech, language, and facial features

Multimodal analysis of speech prosody and upper body gestures using hidden semi-Markov models

Extracting spoken and acoustic concepts for multimedia event detection

Benchmarking methods for audio-visual recognition using tiny training sets

Graph based multimodal word clustering for video event detection

Cognitive, affective, and experience correlates of speech quality perception in complex listening conditions

Emotion classification via utterance-level dynamics: A pattern-based approach to characterizing affective expressions

Identifying salient sub-utterance emotion dynamics using flexible units and estimates of affective flow

Deep learning for robust feature generation in audiovisual emotion recognition

Audio signal classification in reverberant environments based on fuzzy-clustered ad-hoc microphone arrays

Robustness of speech quality metrics to background noise and network degradations: Comparing ViSQOL, PESQ and POLQA

Using physiology and language cues for modeling verbal response latencies of children with ASD

HRTF personalization modeling based on RBF neural network

Local alignment for query by humming

Introducing articulatory anchor-point to ann training for corrective learning of pronunciation

Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning

Twin-HMM-based audio-visual speech enhancement

3D video quality metric for mobile applications

View selection policy for multi-view video delivery

MoCap data coding with unrestricted quantization and rate control

Sparse representations for hand gesture recognition

The gesturer is the speaker

Speech-driven eyebrow motion synthesis with contextual Markovian models

Toward body language generation in dyadic interaction settings from interlocutor multimodal cues

Data driven modeling of head motion towards analysis of behaviors in couple interactions

Optimal task-level scheduling for cloud based multimedia applications

RGB-D video content identification

Design and analysis of multi-coset arrays

Robust adaptive beamforming with imprecise steering vector and noise covariance matrix due to finite sample size

Bayesian robust adaptive beamforming based on random steering vector with bingham prior distribution

Convergence rate of the dominant mode rejection beamformer for a single interferer

Worst case robust downlink beamforming on the Riemannian manifold

An L1-constrained normalized lms algorithm and its application to thinned adaptive antenna arrays

Random steerable arrays for synthetic aperture imaging

Simultaneous reconstruction of undersampled multichannel signals with a decayed and time-delayed common component

Robust joint sparse recovery on data with outliers

Multi-dimensional sparse structured signal approximation using split bregman iterations

Joint low-rank and sparse light field modelling for dense multiview data compression

Sparse regularization of tensor decompositions

On the mutual information of time reversal for non-stationary channels

On the effects of clock offset in OFDM-based Passive Bistatic Radar

Constant-envelope waveform design for optimal target-detection and autocorrelation performances

On the structure of the multi-mode filters for passive wavefront curvature ranging in a distributed array system

Enhanced multistatic active sonar signal processing

Radio interferometric calibration using a riemannian manifold

HMA-III: A self-calibrating wireless microphone array system

A complete characterization and solution to the microphone position self-calibration problem

Blind calibration and remedy for mis-oriented velocity-sensor triads

Time delay estimation for TDOA self-calibration using truncated nuclear norm regularization

Coordinated blind calibration for time interleaved ADCS

Tensor amplitude extraction in sensor array processing

Statistically efficient methods for pitch and DOA estimation

Angular resolution limit of two closely-spaced point sources based on hypothesis testing

Multiple-channel detection in active sensing

Multi-frequency tuning technique for distributed sensor localization

Space-time coherence and its exact null distribution

Individual aoameasurement detection algorithm for target tracking in mixed LOS/NLOS environments

DOA estimation of coherent targets in MIMO radar

On intraference and its implications in complex-valued signal processing

Approximate rank-detecting factorization of low-rank tensors

A new method for source detection, power estimation, and localization in large sensor networks under noise with unknown statistics

Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data

Data-efficient quickest change detection in distributed and multi-channel systems

Data-adaptive regularization for DOA estimation using sparse spectrum fitting

A probabilistic framework for multiple speaker localization

Sparsity-based DOA estimation using co-prime arrays

Prior-exploiting direction-of-arrival algorithm for partially uncorrelated source signals

A generalized acquisition scheme for vector cross-product direction findingwith spatially spread vector-sensor components

Speaker tracking with spherical microphone arrays

Performance analysis of ESPRIT-type algorithms for non-circular sources

Hyperparameter-free DOA estimation under power constraints

CRB analysis of near-field source localization using uniform circular arrays

A maximum likelihood approach for underdetermined TDOA estimation

Colocated MIMO radar: Cramer-Rao bound and optimal time division multiplexing for DOA estimation of moving targets

Multisource DOA estimation based on time-frequency sparsity and joint inter-sensor data ratio with single acoustic vector sensor

A new subband information fusion method for wideband DOA estimation using sparse signal representation

Sparsity-aware TDOA localization of multiple sources

Joint source localization and sensor position refinement for sensor networks

A new passive source localization method using AOA-GROA-TDOA in wireless sensor array networks and its Cramér-Rao bound analysis

Soft resampling for improved information retention in particle filtering

Single target detection and tracking using direction-of-arrival spectrum

Range based sensor node localization in the presence of unknown clock skews

Tracking with RFID asynchronous measurements by particle filtering

Maneuvering target altitude tracking in over-the-horizon radars exploiting multipath Doppler signatures

A linear complexity particle approach to the exact multi-sensor PHD

On passive TDOA and FDOA localization using two sensors with no time or frequency synchronization

Broadband localization in a dispersive medium through sparse wavenumber analysis

Received signal strength-based sensor localization in spatially correlated shadowing

Localization of mobile equipment in radio environments with no line-of-sight path

Asynchronous time-of-arrival-based source localization

On the transmit beampattern design using MIMO and phased-array radar

A waveform covariancematrix for high SINR and lowside-lobe levels

Sparse MIMO radar with phase mismatch

Em-based sparse imaging for colocated MIMO radar under phase synchronization mismatch

High resolution MIMO radar with unitary waveform matrix scheduling

Conditions for target recovery in spatial compressive sensing for MIMO radar

Improved MIMO radar channel estimation using spatial coding

Time reversal MIMO radar: Improved CRB and Angular Resolution Limit

The separating function estimation test and the UMPI test for target detection problem using optimal signal design in MIMO radar

MIMO over-the-horizon radar waveform design for target detection

Joint transmit array interpolation and transmit beamforming for source localization in MIMO radar with arbitrary arrays

Target estimation in colocated MIMO radar via matrix completion

Quaternion-based worst case constrained beamformer based on electromagnetic vector-sensor arrays

Reconfigurable adaptive linear array signal processing in GNSS applications

Data-adaptive reduced-dimension robust Capon beamforming

Analysis of near field broadband PIC antenna array processor with orthogonal interference beam

A fastwidely-linear QR-decomposition least-squares (FWL-QRD-RLS) algorithm

Robust beamforming via FIR filtering for GNSS multipath mitigation

Canonical Polyadic decomposition of complex-valued multi-way arrays based on Simultaneous Schur Decomposition

Beamforming with extended co-prime sensor arrays

Robust codebook-based downlink beamforming using mixed integer conic programming

Robust design of block diagonalization using perturbation analysis

Interference alignment with doubly layered signaling for constant SISO interference channels

Decentralized beamforming for multi-carrier asynchronous bi-directional relaying networks

A market based dynamic bit allocation scheme for target tracking in wireless sensor networks

A direct algorithm for joint optimal sensor scheduling and MAP state estimation for hidden Markov models

Nested bounds for the constrained sensor placement problem

Matrix design for optimal sensing

Localization with Doppler biased TOAS: An ill-conditioned problem

Keep ballots secret: On the futility of social learning in decision making by voting

Distributed adaptive eigenvector estimation of the sensor signal covariance matrix in a fully connected sensor network

Optimalwidely-linear distributed beamforming for relay networks

Distributed state estimation in multi-agent networks

One-bit quantization for multi-sensor GLRT detection of unknown deterministic signals

Distributed detection and Uniformly Most Powerful tests

Interactive fusion in distributed detection: Architecture and performance analysis

Energy efficient source localization on a Manhattan grid wireless sensor network

Compressed sensing of diffusion fields under heat equation constraint

Nuclear norm minimization and tensor completion in exploration seismology

Ambiguity function and detection probability considerations for matched waveform design

Time delay estimation via minimum-phase and all-pass component processing

Theoretical framework for the design of microphone arrays for robot audition

Prediction of unlearned position based on local regression for single-channel talker localization using acoustic transfer function

An information theoretic approach for speech source enumeration

Compressive multichannel cortical signal recording

Source localization in reverberant environments using sparse optimization

Blind separation of convolutive mixtures of speech sources: Exploiting local sparsity

Blind multi-channel source separation by circular-linear statistical modeling of phase differences

On identifiability in bilinear inverse problems

The Fukushima inverse problem

Real-time DSP for adaptive filters: A teaching opportunity

Students' understanding of convolution

Augmentation of learning in introduction to computer science

Interactive teaching and assessment using recycled SP concepts

An alternating optimization algorithm for the MIMO secrecy capacity problem under sum power and per-antenna power constraints

Degrees of freedom of general symmetric MIMO interference broadcast channels

Interference alignment using reweighted nuclear norm minimization

MISO interference channel with improper Gaussian signaling

Performance gains due to improper signals in MIMO broadcast channels with widely linear transceivers

Power allocation method based on the channel statistics for combined positioning and communications OFDM systems

An efficient parameterization for Pareto-optimal beamformers for k-user MIMO interference channels

Beamspace MIMO transceivers for low-complexity and near-optimal communication at mm-wave frequencies

Computing the degrees of freedom for arbitrary MIMO interference channels

Coverage and area spectral efficiency in downlink random cellular networks with channel estimation error

Multi-group multicast beamforming in cognitive radio networks via rank-two transmit beamformed Alamouti space-time coding

Feasibility of interference neutralization in relay-aided MIMO interference broadcast channel with partial connectivity

Base station activation and linear transceiver design for utility maximization in Heterogeneous networks

Decomposition by partial linearization in multiuser systems

Joint resource allocation and receiver map estimation in underlay cognitive radios

Multi-stream sum rate maximization for MIMO af relay networks

N-gram analysis for sleeping cell detection in LTE networks

Simultaneous information-and-power transfer for broadband downlink sytems

A diffusion-based distributed em algorithm for density estimation in wireless sensor networks

Adaptive Eigenvalue-Based Spectrum Sensing for multi-antenna cognitive radio systems

Adaptive thresholding for distributed power spectrum sensing

Asymptotic analysis of eigenvalue-based blind Spectrum Sensing techniques

Compressive wideband spectrum sensing with spectral prior information

Decentralized estimation and control of algebraic connectivity of random ad-hoc networks

Computer vision aided OFDM-based standards detection and classification technique for cognitive radio systems

Cooperative simultaneous localization and tracking (coslat) with reduced complexity and communication

Distributed cooperative spectrum sensingwith double-topology

Distributed sparse signal recovery for sensor networks

Fully distributed clock skew and offset estimation in wireless sensor networks

Robust MIMO cognitive radio systems under temperature interference constraints

Adaptive distributed sparsity-aware matrix decomposition

ADMOt: Compressive sensing techniques for channel monitoring in multiple access networks

Incorporating Betweenness Centrality in Compressive Sensing for congestion detection

NMF revisited: New uniqueness results and algorithms

Robust network traffic estimation via sparsity and low rank

UCS-NT: An unbiased compressive sensing framework for Network Tomography

Cooperative off-policy prediction of Markov decision processes in adaptive networks

Hybrid variational Bayesian channel estimation, demodulation and decoding for OFDM under sparse multipath channels

Optimal power allocation for an energy harvesting estimation system

Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR

Short-data-record filtering of PN-masked data

A robust MISO training sequence design

On joint source-channel decoding and interference cancellation in CDMA-based large-scale wireless sensor networks

A coalitional game for distributed estimation in wireless sensor networks

A strategy for adjusting combination weights over adaptive networks

Average consensus in wireless sensor networks: Will it blend?

Bayesian Quadratic Network Game filters

Data centric multi-shift sensor scheduling for wireless sensor networks

Diffusion LMS localization and tracking algorithm for wireless cellular networks

Distributed detection with collisions in a random, single-hop wireless sensor network

Implementing energy-efficient tracking in a sensor network

Linearly convergent decentralized consensus optimization with the alternating direction method of multipliers

On the distributed estimation of rank-deficient dynamical systems: A generic approach

Topology optimization for a trade off between energy cost and network lifetime in average consensus

A novel Sub-Nyquist sampling of sparse wideband signals

Distributed predictive subspace pursuit

On a reverse ℓ2-inequality for sparse circular convolutions

Support agnostic Bayesian matching pursuit for block sparse signals

Channel-optimized vector quantizer design for compressed sensing measurements

Compressed sensing with corrupted participants

High-dimensional sparse covariance estimation for random signals

Recovery of sparse signals from amplitude-limited sample sets

Expected complexity of sphere decoding for sparse integer least-square problems

Sequential detection for sparse channels via a multiple tree algorithm

Intercarrier interference in DSL networks due to asynchronous DMT transmission

Optimization of the per tone noise protection in xDSL systems employing virtual noise

Joint power-loading and cyclic prefix length optimization for OFDM-based power line communication

Evaluating the effects of co-channel interference inwireless networks

Adaptive reduced-rank MBER linear receive processing using joint interpolation, switched decimation and filtering for large multiuser MIMO systems

On linear MMSE based turbo-equalization of nonlinear volterra channels

Quadratic sphericity test for blind detection over time-varying frequency-selective fading channels

Securewaveforms for SISO channels

Surface noise cancellation for acoustic downhole communication systems

Fourier-hermite communications; where Fourier meets Hermite

FPGA implementation of a same-frequency cellular repeater using adaptive feedback cancellation

Cancelling self-interference in full-duplex relays without angle-of-arrival information

A recursive least squares algorithm with reduced complexity for digital predistortion linearization

Adaptive Tx skirt suppression for multi-radio in-device coexistence

Ergodic robust rate balancing for rank-one vector broadcast channels via sequential approximations

Maximum-SNR transmit antenna selection with two receive antennas is polynomially solvable

Multiuser MISO beamforming for simultaneous wireless information and power transfer

A convex approximation method for multiuser MISO sum rate maximization under discrete rate constraints

Backhaul-constrained optimization for hybrid access small cells

Coordinate update algorithms for robust power loading for the MISO downlinkwith outage constraints and Gaussian uncertainties

Optimal chunk-based resource allocation for OFDMA systems with multiple BER requirements

Downlink cell association optimization for heterogeneous networks via dual coordinate descent

Energy-efficient downlink transmission with base station closing in small cell networks

Joint power and admission control via p norm minimization deflation

Optimal resource allocation for multiple access channel with conferencing links and a shared renewable energy source

Outage constrained weighted sum rate maximization for MISO interference channel by pricing-based optimization

Power allocation for joint estimation with energy harvesting constraints

Power control for multiple spectrum-sharing networks under random geometric topologies

Reliable computation of nomographic functions over Gaussian multiple-access channels

Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty

Sharing vs. splitting spectrum in OFDMA femtocell networks

A balanced precoding scheme for the two-user SISO X channel with optimal DoF and a small power offset

Alternating rate profile optimization in single stream MIMO interference channels

Efficient information leakage neutralization on a relay-assisted multi-carrier interference channel

Linear transceiver design for relay-assisted broadcast systems with diagonal scaling

Multi-user MISO broadcasting for indoor visible light communication

Interference-aware rate control for bursty interference channels

Coordinated beamforming for mutually interfering multi-antenna wlan networks with multipacket reception

Power minimization in the multiuser downlink under user rate constraints and imperfect transmitter CSI

Space time interference alignment scheme for the MIMO BC and IC with delayed CSIT and finite coherence time

Weighted sum rate maximization for cognitive MISO broadcast channel: Large system analysis

Synchronization and ranging by scheduled broadcasting

Acoustic channel model for adaptive downhole communication over deep drill strings

Noncoherent least squares estimators of carrier phase and amplitude

Optimal quantizers for distributed Bayesian estimation

Hybrid maximum a posteriori estimation under communication constraints

Improved time synchronization in presence of imperfect channel state information

Dictionary-based reconstruction of the cyclic autocorrelation via ℓ1-minimization for cyclostationary spectrum sensing

Joint phase-recovery and demodulation-decoding of AIS signals received by satellite

Low-complexity and high-performance non-coherent cell identification detection schemes for OFDM-based systems

Low-complexity Kalman filter-based carrier frequency offset estimation and tracking for OFDM systems

Generalized vector state-scalar observation Kalman channel estimator for doubly-selective OFDM systems

Ziv-Zakai lower bound for UWB based TOA estimation with multiuser interference

Effect of synchronizing coordinated base stations on phase noise estimation

Energy-efficient relaying using rateless codes

On the impact of transceiver impairments on af relaying

SNR-per-unit-power optimization in relay networks

Sum rate maximization and energy harvesting for two-way af relay systems with imperfect CSI

Worst-case based robust distributed beamforming for relay networks

Autocorrelation-based adaptation rule for feedback equalization in wideband full-duplex amplify-and-forward MIMO relays

Distributed concatenated Alamouti code designs for one-way relay networks using uniquely-factorable PSK constellation

Optimal distributed concatenated space-time block codes for two-way relaying networks

Orthogonally-distributed space-time block codes for relay channels

Semi-blind channel estimation for OFDM-based amplify-and-forward two-way relay networks

Two-way interference-limited AF relaying with selection-combining

Two-way relay beamforming design: Proportional fair and max-min rate fair approaches using POTDC

A lowcomplexity algorithm for collaborative-relay beamforming

Two-way relaying via modulo-and-forward for MIMO signal transmission

Full-diversity distributed space-time codes with an efficient ML decoder for asynchronous cooperative communications

Design of decision device for the adaptation of decision directed equalizers

Adaptive quantization on the Grassmann-manifold for limited feedback multi-user MIMO systems

Efficient SINR fairness algorithm for large distributed multiple-antenna networks

Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm

Large deviation delay analysis of queue-aware multi-user MIMO systems with two timescale mobile-driven feedback

Multi-stream transmission in MIMO-FBMC systems

Zero-forcing pre-equalization with transmit antenna selection in MIMO systems

Where to predict the channel for cooperative multi-cell transmission over correlated subcarriers?

Characterizing fading channel under abrupt temporal variations

Pilot design for MIMO channel estimation: An alternative to the Kronecker structure assumption

Signal region characterization and exact phase recovery for constant envelope precoding in single-user large-scale MISO channels

LLR quantization and resource allocation of constrained backhaul for multicell processing

Novel full-rate noncoherent alamouti encoding that allows polynomial-complexity optimal decoding

Rank deficient decoding of linear network coding

Analysis of finite-alphabet iterative decoders under processing errors

Channel dependent adaptive modulation and coding without channel state information at the transmitter

Complexity reduction for vector precoding using QoS requirements

FFT-SPA non-binary LDPC decoding on GPU

An EM approach for joint channel estimation and channel decoding in systems employing Physical-Layer Network Coding

Hybrid digital analog transform coding

Likelihood codebook reordering vector quantization

On the use of explicit redundancy for delayless soft-decision audio decoding

Performance bounds for sensor data gathering by coding in finite fields

Towards minimising the coefficient vector overhead in random linear Network Coding

Universal Wyner-Ziv coding for Gaussian sources

Link adaptation for BICM-OFDM through adaptive kernel regression

Soft-input soft-output linear programming decoding

Detection and localization for an unknown emitter using TDOA measurements and sparsity of received signals in a synchronized wireless sensor network

CRLB for the localization error in the presence of fading

Efficient DOA, DOD, and target estimation for bistatic MIMO sonar

Modified cramer-rao lower bounds for TOA and symbol width estimation. An application to search and rescue signals

Integrated IMU and radiolocation-based navigation using a Rao-Blackwellized particle filter

Joint node localization and time-varying clock synchronization in wireless sensor networks

Posterior CRLB for tracking a mobile station in NLOS multipath environments

Simultaneous localization and tracking via real-time nonparametric belief propagation

Position and orientation estimation of a rigid body: Rigid body localization

A novel ML based joint TOA and AOA estimator for IR-UWB systems

Target localization in Wireless Sensor Networks using error correcting codes in the presence of Byzantines

Target tracking with distance-dependent measurement noise in wireless sensor networks

Map-based automatic modulation classification for wireless adaptive OFDM systems

Secure distributed estimation in cyber-physical systems

Attaining optimal batch performance via distributed processing over networks

Axiomatic construction of hierarchical clustering in asymmetric networks

Cooperative day-ahead bidding strategies for demand-side expected cost minimization

Distributed demand-side optimization with load uncertainty

Distributed frequency control via demand response in smart grids

Mining anomalous electricity consumption using Ensemble Empirical Mode Decomposition

Robust collaborative state estimation for smart grid monitoring

Online control for energy storage management with renewable energy integration

Optimal sensor placement for hybrid state estimation in smart grid

Simplifying the homology of networks via strong collapses

Socially-optimal design of crowdsourcing platforms with reputation update errors

Strategic information dissemination and link formation in social networks

Performance of fading multi-user diversity for underlay cognitive networksy

Decentralized computation of the conditional posterior Cramér-Rao lower bound: Application to adaptive sensor selection

Distributed RLS estimation for cooperative sensing in small cell networks

Cooperative sparsity pattern recovery in distributed networks via distributed-OMP

Cooperative spectrum sharing in wireless ad-hoc networks

Cooperative spectrum sharing with joint receiver decoding

Joint data and connection topology recovery in collaborative wireless sensor networks

Diffusion-based distributed adaptive estimation utilizing gradient-descent total least-squares

Distributed detection with common observations

Hybrid spectrum sharing with imperfect sensing in fading channels

Learning-stage based decentralized adaptive access policy for dynamic spectrum access

New model for optimized periodogram-based spectrum sensing for cognitive radios

Opportunistic channel-aware spectrum access for cognitive radio networks with periodic sensing

Partially coherent distributed detection under total power constraint

Sequences with minimal time-frequency spreads

Local regularity for texture segmentation: Combining wavelet leaders and proximal minimization

Detecting stationary phase points in the time-frequency plane

Analysis of strongly modulated multicomponent signals with the short-time Fourier transform

Complementary envelope estimation for frequency-modulated random signals

Multi-scale test procedure for non-stationarity in short and long memory time series

Exact and approximate polynomial decomposition methods for signal processing applications

Closed-form solutions within sparsifying transform learning

Adaptive step size selection for optimization via the ski rental problem

Characterization of the range of the Hilbert transform for bounded bandlimited signals and applications

Fusion inspired channel design

Peak-to-average power ratio and illumination-to-communication efficiency considerations in visible light OFDM systems

Adaptive link selection strategies for distributed estimation in diffusion wireless networks

Distributed inference over regression and classification models

Threshold behavior of epidemics in regular networks

A greedy sparsity-promoting LMS for distributed adaptive learning in diffusion networks

A proximal splitting approach to regularized distributed adaptive estimation in diffusion networks

Distributed incremental-based LMS for node-specific parameter estimation over adaptive networks

Discrete random sampling theory

Robustness of aliasing-tolerant sub-Nyquist sampling with application to particle localisation

Sequential local FRI sampling of infinite streams of Diracs

Signal processing techniques for interpolation in graph structured data

Kernel-induced sampling theorem for bandpass signals with uniform sampling

Improved spectrum-blind reconstruction of multi-band signals

Can we allow linear dependencies in the dictionary in the sparse synthesis framework?

Sparse signal recovery from nonlinear measurements

Compressive K-SVD

Sampling and reconstructing diffusion fields in presence of aliasing

Sample allocation for statistical multiresolution compressed sensing

Compressive sensing for incoherent imaging systems with optical constraints

Connections between sparse estimation and robust statistical learning

Robust semi-definite relaxation MIMO detection in a non-gaussian channel

Robust fundamental frequency estimation in the presence of inharmonicities

Backward hidden Markov chain for outlier-robust filtering and fixed-interval smoothing

Adaptive scale based entropy-like estimator for robust fitting

Robust hypothesis testing for modeling errors

Compressed sensing under matrix uncertainty: Optimum thresholds and robust approximate message passing

Compressive sensing bounds through a unifying framework for sparse models

Derivation of an analytical expression of the Gaussian model Statistical Resolution Limit

Hybrid lower bound on the MSE based on the Barankin and Weiss-Weinstein bounds

Angular resolution limit for deterministic correlated sources

Performance analysis of sequential detection for collision avoidance in sensor networks

Multivariate Student's-t mixture model for bounded support data

Minimax sparse detection based on one-class classifiers

Reliable classification by unreliable crowds

Authorship attribution using function words adjacency networks

A new geometric approach to latent topic modeling and discovery

A controlled sensing approach to graph classification

General expressions of derivative-constrained linear-phase type-I FIR filters

A low complexity reconfigurable channel filter based on decimation, interpolation and frequency response masking

A general structure for the design of adjustable FIR filters

Analysis of a sampled data system for the optimal digitizing of analog filters

On the optimality of operator-like wavelets for sparse AR(1) processes

Multiplierless lifting based FFT via fast Hartley transform

Even mirror Fourier nonlinear filters

IIR Phasor Banks: Causal, delay-free, numerically robust, customizable, uniform-DFT-like perfect reconstruction filter banks

2D orthogonal symmetricwavelet filters using allpass filters

On the design of orthonormal wavelets for finite-length signals

A variation of empirical mode decomposition with intelligent peak selection in short time windows

Lattice structures for 2-D non-separable oversampled lapped transforms

Sparse Fast Fourier Transform by downsampling

Relationship between DCT-II, DCT-VI, and DST-VII transforms

Normalized correlation-newton algorithm with variable control of q-norm

Statistical-mechanical analysis of the FXLMS algorithm with nonwhite reference signals

Convergence and tracking analysis of the ε-NSRLMF algorithm

Estimation of nonstationary harmonic signals and its application to active control of MRI noise

Affine projection algorithms for sparse system identification

A low-cost implementation strategy for combinations of adaptive filters

Incremental combination of RLS and LMS adaptive filters in nonstationary scenarios

Rank minimization for subspace tracking from incomplete data

Online robust portfolio risk management using total least-squares and parallel splitting algorithms

On the robustness of LMS algorithms with time-variant diagonal matrix step-size

Total variation denoising with overlapping group sparsity

A novel method to derive explicit KLT kernel for AR(1) process

A K-best orthogonal matching pursuit for compressive sensing

Behavior of greedy sparse representation algorithms on nested supports

Kalman-like state tracking and control in POMDPS with applications to body sensing networks

Adaptive spectrum sensing and estimation

Linearly reconfigurable Kalman filtering for a vector process

The Generalized Sliding-Window recursive least-squares lattice filter

Kernel LMS algorithm with forward-backward splitting for dictionary learning

Sparse volterra systems: Theory and practice

Evaluating the potential of Volterra-PARAFAC IIR models

Parsimonious multivariate copula model for density estimation

Bayesian nonparametric state and impulsive measurement noise density estimation in nonlinear dynamic systems

A simple optimum nonlinear filter for stochastic-resonance-based signal detection

Power allocation for Gaussian Mixture model prior knowledge in wirless sensor networks

A Student's t filter for heavy tailed process and measurement noise

Non-parametric data predistortion for non-linear channels with memory

Introducing the fast nonlinear Fourier transform

Transform coder identification

Filtering of subtractive discrete dither in quantizers: Some new results

Turbo quantization of frames

Quantization-loss reduction for signal parameter estimation

Embedded Voronoi codes for successive refinement lattice vector quantization

Analysis-by-synthesis-based quantization of compressed sensing measurements

Estimation of bandlimited signals from the signs of noisy samples

Irregularly sampled seismic data interpolation using iterative half thresholding regularization

Graded quantization: Democracy for multiple descriptions in compressed sensing

A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making

Algebraic phase unwrapping for functional data analytic estimations—Extensions and stabilizations

Statistical analysis of the jointly-optimized acoustic echo cancellation BF-AEC structure

Bayesian and Cramér-Rao bounds for single sensor target localization via multipath exploitation

Distributed principal components analysis in sensor networks

Dictionary learning for sparse decomposition: A new criterion and algorithm

Fusion of algorithms for Compressed Sensing

Weighted-damped Approximate Message Passing for compressed sensing

A mixed integer linear programming formulation for the sparse recovery problem in compressed sensing

From least squares to sparse: A non-convex approach with guarantee

Correlation-aware sparse support recovery: Gaussian sources

A greedy forward-backward algorithm for atomic norm constrained minimization

On finite alphabet compressive sensing

Optimal deterministic compressed sensing matrices

Joint recovery of sparse signals and parameter perturbations with parameterized measurement models

Separating sparse and low-dimensional signal sequences from time-varying undersampled projections of their sums

Reverse engineering of signal acquisition chains using the theory of sampling signals with finite rate of innovation

A one-bit reweighted iterative algorithm for sparse signal recovery

Beamformers for sparse recovery

Autocalibrated signal reconstruction from linear measurements using adaptive GAMP

Poisson image restoration with likelihood constraint via hybrid steepest descent method

Mitigation of clipping in sensors

Consistent iterative hard thresholding for signal declipping

Simultaneous polynomial approximation and total variation denoising

Renovation of archive audio recordings using sparse autoregressive modeling and bidirectional processing

Recursive robust PCA or recursive sparse recovery in large but structured noise

How good is your Super-Resolution Image? Quality assurance in image reconstruction using the bootstrap

A further improvement of a fast damped Gauss-Newton algorithm for candecomp-parafac tensor decomposition

Sequential focus evaluation of synthetic aperture sonar images

Reconstruction of integers from pairwise distances

Learning phase-invariant dictionaries

A proximal approach for optimization problems involving kullback divergences

Inference of Poisson count processes using low-rank tensor data

A variational bayesian approach to compressive sensing based on Double Lomax priors

Compressive schlieren deflectometry

Compressive sensing based specular multipath exploitation for through-the-wall radar imaging

A nonconvex ADMM algorithm for group sparsity with sparse groups

Recovery of nonuniformdirac pulses from noisy linear measurements

Surpassing the theoretical 1-norm phase transition in compressive sensing by tuning the smoothed l0 algorithm

Compressive Gaussian Mixture estimation

A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach

Compressive shift retrieval

Subspace penalized sparse learning for joint sparse recovery

Frames from groups: Generalized bounds and dihedral groups

Golay sequence for parital Fourier and Hadamard compressive imaging

Sampling and reconstruction in sparse atomic spaces

Sampling and recovery of continuous sparse signals by maximum likelihood estimation

The direct batch generation of Hermite-Gaussian-like eigenvectors of the DFT matrix using the notion of matrix pseudoinverse

On exact lq denoising

An efficient method for finding intersections of many manifolds with application to patch based image processing

A sparse optimization approach to supervised NMF based on convex analytic method

Generalized normal window for digital signal processing

Independent vector analysis with a multivariate generalized gaussian source prior for frequency domain blind source separation

Multi-stage digital predistortion based on indirect learning architecture

Hawkes-laguerre reduced rank model for point processes

An integral operator based adaptive signal separation approach

A fundamental pitfall in blind deconvolution with sparse and shift-invariant priors

A greedy algorithm for model selection of tensor decompositions

Cross-products LASSO

Approximating the time-frequency output of a dynamical system for an arbitrary nonstationary input

The quaternion kernel least squares

A procedure for n-D Fornasini-Marchesini state-space model realization based on right matrix fraction description

Analysis and reduction of estimation bias for an iterative frequency estimator of complex sinusoid

Prediction error method to estimate the ar parameters when the AR process is disturbed by a colored noise

Fully adaptive Gaussian mixture Metropolis-Hastings algorithm

Fast equivariant JADE

Estimation of highway traffic from sparse sensors: Stochastic modeling and particle filtering

Discrete signal processing on graphs: Graph filters

Discrete signal processing on graphs: Graph fourier transform

Variational Bayesian EM algorithm for modeling mixtures of non-stationary signals in the time-frequency domain (HR-NMF)

Sparsifying defaults: Optimal bailout policies for financial networks in distress

An algebraic real translation of hypercomplex linear systems and its application to adaptive filtering

An operator-based and sparsity-based approach to adaptive signal separation

EEG-FMRI integration using a partially constrained tensor factorization

Successive-MFCW modulation for ultra-fast narrowband radar

Spectral estimation of phase noise based on complementary autocorrelation

Time-updating IAA-based spectral estimates with missing samples using data interpolation

Subspace-based estimation of symbolic periodicities

Fast missing-data IAA by low rank completion

Estimating multiple pitches using block sparsity

Spectral compressive sensing with polar interpolation

Spectral estimation with the Hirschman optimal transform filter bank and compressive sensing

Power-CCA: Maximizing the correlation coefficient between the power of projections

An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics

Parameter estimation and waveform design for cognitive radar by minimal free-energy principle

Estimating the autocorrelation function of an arbitrarily time-variant system response

Enhancing the readability of the Wigner distribution by exploiting its cross-terms geometry

Non-parametric data-dependent estimation of spectroscopic echo-train signals

Hyperspectral performance prediction of the adaptive cosine estimator

Distributed particle filtering in the presence of mutually correlated sensor noises

An efficient stochastic approximation EM algorithm using conditional particle filters

ARCH and GARCH parameter estimation in presence of additive noise using particle methods

Copula Gaussian graphical model for discrete data

Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models

Adaptive stopping for fast particle smoothing

A marginalised particle filter for bearings-only tracking

Data detection using particle filtering in relay-based communication system with Laplace AR channel model

Particle metropolis hastings using Langevin dynamics

Bayesian filtering with intractable likelihood using sequential MCMC

A population Monte Carlo scheme for computational inference in high dimensional spaces

A new minimum-consensus distributed particle filter for blind equalization in receiver networks

Full order nonlinear distributed estimation in intermittently connected networks

MCMC particle filter for tracking in a partially known multipath environment

Statistical ranking of sensor observations for centralized detection with distributed sensors

Empirical likelihood ratio test with density function constraints

Random Distortion Testing and applications

Bootstrap based sequential probability ratio tests

A new methodology for optimal delay detection in mobile localization context

Bayesian model comparison and the BIC for regression models

Voice activity detection based on a statistical semiparametric test

Non-Bayesian quickest detection with a stochastic energy constraint

Detecting randomwalks hidden in noise: Phase transition on large graphs

A track-before-detect algorithm for the detection of a Markov target in the presence of missing observations

Particle PHD forward filter-backward simulator for targets in close proximity

An interactive multiple model approach for robust GNSS carrier phase tracking under scintillation conditions

Poutine: A correlation estimator for ergodic stationary signals

“Wow!” Bayesian surprise for salient acoustic event detection

Maximum entropy estimation of the probability density function from the histogram using order statistic constraints

Bayesian recursive estimation on the rotation group

TW-TOA based cooperative sensor network localization with unknown turn-around time

Maximum likelihood estimation under partial sparsity constraints

An achievable measurement rate-MSE tradeoff in compressive sensing through partial support recovery

Online EM for indoor simultaneous localization and mapping

Adjustable quantizers for joint estimation of location and scale parameters

Asymptotic approximation of optimal quantizers for estimation

On data sparsification and a recursive algorithm for estimating a kernel-based measure of independence

Dynamic filtering of sparse signals using reweighted ℓ1

Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure

Von Mises-Fisher approximation of multiple scattering process on the hypersphere

MEMS-based inertial navigation based on a magnetic field map

Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments

Covariance matrix estimation in complex elliptic distributions using the expected likelihood approach

Analytically-selected multi-hypothesis incremental MAP estimation

Estimation of underdetermined mixingmatrix with unknown number of overlapped sources in short-time Fourier transform domain

Fusion of quantized data for Bayesian estimation aided by controlled noise

Performance analysis of minimum variance asset allocation with high frequency data

Graph sampling: Estimation of degree distributions

Robust versions of the Tukey boxplot with their application to detection of outliers

Resolution enhancement of ultrasonic signals by up-sampled sparse deconvolution

A collaborative 20 questions model for target search with human-machine interaction

On the use of the quaternion generalized Gaussian distribution for footstep detection

Beyond Moore-Penrose: Sparse pseudoinverse

A Doppler focusing approach for sub-Nyquist radar

Multiple-channel detection of signals having known rank

Backtracking matching pursuit with supplement set of arbitrary size

Tracking dynamic sparse signals using Hierarchical Bayesian Kalman filters

Compressed-sensing game theory (CSGT): A novel polynomial complexity solution to Nash equilibria in dynamical games

Bayesian estimation for the multifractality parameter

A joint robust estimation and random matrix framework with application to array processing

A new cascaded spectral subtraction approach for binaural speech dereverberation and its application in source separation

Cleaning up toxic waste: Removing nefarious contributions to recommendation systems

Knowledge-enhanced Matching Pursuit

Threshold selection for noisy matrix completion

Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Tuning parameter selection for nonnegative matrix factorization

Continuum-state hidden Markov models with dirichlet state distributions

Opinion dynamics with bounded confidence in the Bayes risk error divergence sense

Data fusion based on convex optimization

Asymptotic learning in feedforward networks with binary symmetric channels

Tracking sparse signal sequences from nonlinear/non-Gaussian measurements and applications in illumination-motion tracking

A subspace-based variational Bayesian method

Online EM estimation of the Dirichlet process mixtures scale parameter to model the GPS multipath error

Analysis of fisher information and the Cramer-Rao bound for nonlinear parameter estimation after compressed sensing

Core consistency diagnostic aided by reconstruction error for accurate enumeration of the number of components in parafac models

Toeplitz matrix based sparse error correction in system identification: Outliers and random noises

Speech recognition with deep recurrent neural networks

A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognition

Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

Asynchronous stochastic gradient descent for DNN training

Error back propagation for sequence training of Context-Dependent Deep NetworkS for conversational speech transcription

A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion

Voice activity detection using a sliding-window, maximum margin clustering approach

Voice activity detection based on frequency modulation of harmonics

Speech active level estimation in noisy conditions

Scale-space expansion of acoustic features improves speech event detection

Phonetic segmentation using statistical correction and multi-resolution fusion

Syll-O-Matic: An adaptive time-frequency representation for the automatic segmentation of speech into syllables

Deep neural network features and semi-supervised training for low resource speech recognition

Investigating deep neural network based transforms of robust audio features for LVCSR

Feature combination and stacking of recurrent and non-recurrent neural networks for LVCSR

MLP-based factor analysis for tandem speech recognition

An empirical study of learning rates in deep neural networks for speech recognition

Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation

Advanced search space pruning with acoustic look-ahead for WFST based LVCSR

Combining forward and backward search in decoding

Revisiting hybrid and GMM-HMM system combination techniques

Language model capitalization

Developing speech recognition systems for corpus indexing under the IARPA Babel program

The blame game in meeting room ASR: An analysis of feature versus model errors in noisy and mismatched conditions

Handling i-vectors from different recording conditions using multi-channel simplified PLDA in speaker recognition

Developing a speaker identification system for the DARPA RATS project

Improving speaker identification robustness to highly channel-degraded speech through multiple system fusion

Knowing the non-target speakers: The effect of the i-vector population for PLDA training in speaker recognition

CRSS systems for 2012 NIST Speaker Recognition Evaluation

A noise robust i-vector extractor using vector taylor series for speaker recognition

Model adaptation of factorial HMMS for multipitch tracking

Higher order waveform symmetry measure and its application to periodicity detectors for speech and singing with fine temporal resolution

An exact subspace method for fundamental frequency estimation

Evaluation of pitch estimation algorithms on separated speech

Joint DOA and fundamental frequency estimation based on relaxed iterative adaptive approach and optimal filtering

Coupling binary masking and robust ASR

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

GMM-based significance decoding

Discriminative recognition rate estimation for N-best list and its application to N-best rescoring

ASR error segment localization for spoken recovery strategy

Speech activity detection: An economics approach

Prosodic features and formant modeling for an ivector-based language recognition system

Low-resource language recognition using a fusion of phoneme posteriorgram counts, acoustic and glottal-based i-vectors

Unsupervised channel adaptation for language identification using co-training

Discriminative feature extraction for language identification

Simplified domain transfer multiple kernel learning for language recognition

Subspace-based phonotactic language recognition using multivariate dynamic linear models

Unsupervised prosodic phrase boundary labeling of Mandarin speech synthesis database using context-dependent HMM

Training a supra-segmental parametric F0 model without interpolating F0

F0 contour prediction with a deep belief network-Gaussian process hybrid model

Accent Group modeling for improved prosody in statistical parameteric speech synthesis

Speaker's intentions conveyed to listeners by sentence-final particles and their intonations in Japanese conversational speech

A speaking rate-controlled Mandarin TTS system

Non-parallel training for voice conversion based on adaptation method

Generation of growl-type voice qualities by spectral morphing

A style capturing approach to F0 transformation in voice conversion

Transmutative voice conversion

Phoneme independent HMM voice conversion

HMM-based speech synthesis adaptation using noisy data: Analysis and evaluation methods

Effectiveness of discriminative training and feature transformation for reverberated and noisy speech

Tied-state based discriminative training of context-expanded region-dependent feature transforms for LVCSR

State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora

Kernelized log linear models for continuous speech recognition

A critical evaluation of stochastic algorithms for convex optimization

Adaptive boosted non-uniform mce for keyword spotting on spontaneous speech

Multi-task learning in deep neural networks for improved phoneme recognition

Deep hierarchical bottleneck MRASTA features for LVCSR

Multi-level adaptive networks in tandem and hybrid ASR systems

Incoherent training of deep neural networks to de-correlate bottleneck features for speech recognition

Phone recognition with deep sparse rectifier neural networks

Warped Minimum Variance Distortionless Response based bottle neck features for LVCSR

Efficient manifold learning for speech recognition using locality sensitive hashing

Tying rotations of covariance matrices via riemannian subspace clustering

Privacy-preserving distributed speech enhancement forwireless sensor networks by processing in the encrypted domain

Generalization of pre-image iterations for speech enhancement

A sparse representation approach for perceptual quality improvement of separated speech

Frequency offset correction in speech without detecting pitch

Adaptive speech enhancement using sparse prior information

A new mask-based objective measure for predicting the intelligibility of binary masked speech

Robustness to speaker position in distant-talking automatic speech recognition

Impact of hearing impairment on fricative intelligibility for artificially bandwidth-extended telephone speech in noise

On the relation between speech corruption models in the spectral and the cepstral domain

Enhancement of throat microphone recordings by learning phone-dependent mappings of speech spectra

Combining window predictions efficiently - A new imputation approach for noise robust automatic speech recognition

Noise model transfer using affine transformation with application to large vocabulary reverberant speech recognition

Spectro-temporal features for noise-robust speech recognition using power-law nonlinearity and power-bias subtraction

Recognition of overlapping speech using digital MEMS microphone arrays

Stereo-based feature enhancement using dictionary learning

A VTS-based feature compensation approach to noisy speech recognition using mixture models of distortion

An advanced feature compensation method employing acoustic model with phonetically constrained structure

Noise aware manifold learning for robust speech recognition

Ideal ratio mask estimation using deep neural networks for robust speech recognition

A robust frontend for ASR: Combining denoising, noise masking and feature normalization

Filter-bank optimization for Frequency Domain Linear Prediction

An mcmc approach to joint estimation of clean speech and noise for robust speech recognition

Filtering on the temporal probability sequence in histogram equalization for robust speech recognition

Joint sparse representation based cepstral-domain dereverberation for distant-talking speech recognition

Effect of filter bandwidth and spectral sampling rate of analysis filterbank on automatic phoneme recognition

Probabilistic asr feature extraction applying context-sensitive connectionist temporal classification networks

Optimized MFCC feature extraction on GPU

Multi-view CCA-based acoustic features for phonetic recognition across speakers and domains

Performances of unsupervised hmm in acoustic-to-articulatory inversion

Articulatory trajectories for large-vocabulary speech recognition

Distinct triphone modeling by reference model weighting

A new phase-based feature representation for robust speech recognition

Channel-mapping for speech corpus recycling

An evaluation of posterior modeling techniques for phonetic recognition

Accent adaptation using Subspace Gaussian Mixture Models

Semi-supervised accent detection and modeling

Tone recognition for continuous accented Mandarin Chinese

Submodular feature selection for high-dimensional acoustic score spaces

Evaluation of mimicked speech using prosodic features

I-matrix for text-independent speaker recognition

Speaker verification using simplified and supervised i-vector modeling

Analyzing noise robustness of MFCC and GFCC features in speaker identification

Whispered speaker verification and gender detection using weighted instantaneous frequencies

Robust front-end processing for speaker identification over extremely degraded communication channels

Automatic recognition of physiological parameters in the human voice: Heart rate and skin conductance

Hands-free speaker identification based on spectral subtraction using a multi-channel least mean square approach

A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data

Synthetic speech detection using temporal modulation feature

Dual-microphone noise reduction for mobile phone application

Least-squares Distortionless Response Beamformer in far-field environments with spatial cues preservation

Coupling beamforming with spatial and spectral feature based spectral enhancement and its application to meeting recognition

Target speaker separation in a multisource environment using speaker-dependent postfilter and noise estimation

Adaptive binaural noise reduction based on matched-filter equalization and post-filtering

Robust noise PSD estimation for binaural hearing aids in time-varying diffuse noise field

A generalized data-driven speech enhancement framework for bilateral cochlear implants

Multichannel signal enhancement using non-causal, time-domain filters

Dual microphone noise PSD estimation for mobile phones in hands-free position exploiting the coherence and speech presence probability

Incorporating multi-channel Wiener filter with single-channel speech enhancement algorithm

Dual-channel noise reduction based on a mixture of circular-symmetric complex Gaussians on unit hypersphere

Utility of auxiliary sensor data for speech enhancement

A diagonalized newton algorithm for non-negative sparse coding

Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

Rapid development of a Latvian speech-to-text system

Language diarization for code-switch conversational speech

Multilingual training of deep neural networks

Manual and semi-automatic approaches to building a multilingual phoneme set

Rapid bootstrapping of a Ukrainian large vocabulary continuous speech recognition system

Grapheme and multilingual posterior features for under-resourced speech recognition: A study on Scottish Gaelic

Subspace mixture model for low-resource speech recognition in cross-lingual settings

Accent recognition using i-vector, Gaussian Mean Supervector and Gaussian posterior probability supervector for spontaneous telephone speech

Investigation on cross- and multilingual MLP features under matched and mismatched acoustical conditions

Exemplar based language recognition method for short-duration speech segments

Automatic localization of a language-independent sub-network on deep neural networks trained by multi-lingual speech

Supervector pre-processing for PRSVM-based Chinese and Arabic dialect identification

Improved mixed language speech recognition using asymmetric acoustic model and language model with code-switch inversion constraints

Voice activity detection using convolutive non-negative sparse coding

Recurrent neural networks for voice activity detection

Approximated Parallel Model Combination for efficient noise-robust speech recognition

An uncertainty decoding approach to noise- and reverberation-robust speech recognition

Bayesian latent variable models for speech recognition

An investigation of deep neural networks for noise robust speech recognition

Modeling heterogeneous data sources for speech recognition using synchronous hidden Markov models

Noise adaptive front-end normalization based on Vector Taylor Series for Deep Neural Networks in robust speech recognition

Predicting speech recognition confidence using deep learning with word identity and score features

ASR error detection in a conversational spoken language translation system

Mean temporal distance: Predicting ASR error from temporal properties of speech signal

Feature extraction with a multiscale modulation analysis for robust automatic speech recognition

Joint analysis of vocal tract length and temporal information for robust speech recognition

Double pitch marks in diplophonic voice

Subband modulator Kalman filtering for single channel speech enhancement

Noise robust speech dereverberation with Kalman smoother

Computationally efficient single channel dereverberation based on complementary wiener filter

Speech enhancement using a robust Kalman filter post-processor in the modulation domain

On phase importance in parameter estimation in single-channel speech enhancement

Speech enhancement using generalized maximum a posteriori spectral amplitude estimator

Feature denoising for speech separation in unknown noisy environments

Improved single-channel nonstationary noise tracking by an optimized MAP-based postprocessor

Online inter-frame correlation estimation methods for speech enhancement in frequency subbands

Phase randomization - A new paradigm for single-channel signal enhancement

Learning invariant features for speech separation

A novel binary mask estimator based on sparse approximation

Incorporating dynamic track information for all-pole parameter estimation in noise

Speech bandwidth extension based on in-band transmission of higher frequencies

Bhattacharyya distance based emotional dissimilarity measure for emotion classification

Voice-based sadness and anger recognition with cross-corpora evaluation

Speaker variability in speech based emotion models - Analysis and normalisation

Multiple windowed spectral features for emotion recognition

Estimation of vocal tract parameters for the classification of speech under stress

Automatic detection of anger in telephone speech with robust autoregressive modulation filtering

Spectro-temporal analysis of speech affected by depression and psychomotor retardation

Detecting depression: A comparison between spontaneous and read speech

Speaker height estimation combining GMM and linear regression subsystems

Detection of nonlinguistic vocalizations using ALISP sequencing

Selecting disorder-specific features for speech pathology fingerprinting

Very early detection of Autism Spectrum Disorders based on acoustic analysis of pre-verbal vocalizations of 18-month old toddlers

Automatic phoneme analysis in children with Cleft Lip and Palate

Using isolated vowel sounds for classification of Mild Traumatic Brain Injury

Multiframe deep neural networks for acoustic modeling

Investigation of tandem deep belief network approach for phoneme recognition

Using multiple versions of speech input in phone recognition

Audio-visual deep learning for noise robust speech recognition

Investigation of deep Boltzmann machines for phone recognition

Feature and score level combination of subspace Gaussinas in LVCSR task

Upper and lower bounds for approximation of the Kullback-Leibler divergence between Hidden Markov models

Understanding the dropout strategy and analyzing its effectiveness on LVCSR

Efficient decoding with generative score-spaces using the expectation semiring

Identification and modeling of word fragments in spontaneous speech

Large vocabulary continuous speech recognition based on WFST structured classifiers and deep bottleneck features

Deep neural networks with auxiliary Gaussian mixture models for real-time speech recognition

Diffusion maps for PLDA-based speaker verification

Probabilistic linear discriminant analysis of i-vector posterior distributions

PLDA for speaker verification with utterances of arbitrary duration

Lattice MLLR based m-vector system for speaker verification

Discriminatively trained Bayesian speaker comparison of i-vectors

Duration mismatch compensation for i-vector based speaker recognition systems

The IITG speaker verification systems for NIST SRE 2012

Phonetically-constrained PLDA modeling for text-dependent speaker verification with multiple short utterances

An efficient implementation of Probabilistic Linear Discriminant Analysis

A study on GMM-SVM with adaptive relevance factor and its comparison with i-vector and JFA for speaker recognition

Anti-model KL-SVM-NAP system for NIST SRE 2012 evaluation

Supervector Bayesian speaker comparison

Unifying PLDA and polynomial kernel SVMS

Likelihood-ratio empirical kernels for i-vector based PLDA-SVM scoring

Impact of overlapping speech detection on speaker diarization for broadcast news and debates

Efficient iterative mean shift based cosine dissimilarity for multi-recording speaker clustering

Large-scale community detection on speaker content graphs

Link prediction methods for generating speaker content graphs

Clustering similar acoustic classes in the Fishervoice framework

Compensation for inter-frame correlations in speaker diarization and recognition

Speaker diarization using data-driven audio sequencing

Where are the challenges in speaker diarization?

Improved overlap speech diarization of meeting recordings using long-term conversational features

Improved estimation of femininity using GMM supervectors and SVR for voice therapy of Gender Identity Disorder Clients

An investigation on back-end for speaker recognition in multi-session enrollment

Emotional speaker recognition based on i-vector through Atom Aligned Sparse Representation

Optimization of the DET curve in speaker verification under noisy conditions

Prof-Life-Log: Personal interaction analysis for naturalistic audio streams

Human speaker identification of known voices transmitted through different user interfaces and transmission channels

A cine MRI-based study of sibilant fricatives production in post-glossectomy speakers

Individual articulator's contribution to phoneme production

Non-negative matrix factorization on the envelope matrix in cochlear implant

Analysis and modeling of entrainment in chorus singing

An experimental framework for the derivation of perceptually-optimal noise suppression functions

Using binarual processing for automatic speech recognition in multi-talker scenes

Contributions of the high-RMS-level segments to the intelligibility of mandarin sentences

A comparative study of pitch extraction algorithms on a large variety of singing sounds

Non-intrusive objective speech quality and intelligibility prediction for hearing instruments in complex listening environments

Modeling spectral envelopes using restricted Boltzmann machines for statistical parametric speech synthesis

Comparing glottal-flow-excited statistical parametric speech synthesis methods

Evaluation of HMM-based laughter synthesis

Enhancement of spectral clarity for HMM-based text-to-speech systems

Personalized natural speech synthesis based on retrieval of pitch patterns using hierarchical Fujisaki model

Factorized context modelling for Text-to-Speech synthesis

Improving intelligibility in noise of HMM-generated speech via noise-dependent and -independent methods

HMM-based expressive speech synthesis based on phrase-level F0 context labeling

Speaker-independent style conversion for HMM-based expressive speech synthesis

Fast, low-artifact speech synthesis considering global variance

Phoneme variation based synthesized speech discrimination for speaker verification

Contextual partial additive structure for HMM-based speech synthesis

Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis

Unsupervised discriminative adaptation using differenced maximum mutual information based linear regression

KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition

Feature space variational Bayesian linear regression and its combination with model space VBLR

Rapid adaptation for mobile speech applications

Temporal filter design by minimum KL divergence criterion for robust speech recognition

Speaker adaptive Kullback-Leibler divergence based hidden Markov models

Unsupervised adaptation without estimated transriptions

Non-linear frequency warping for VTLN using subglottal resonances and the third formant frequency

Learning discriminative basis coefficients for eigenspace MLLR unsupervised adaptation

Tandem system adaptation using multiple linear feature transforms

Phonetic subspace adaptation for automatic speech recognition

Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code

Speaker adaptation of context dependent deep neural networks

Articulatory inversion and synthesis: Towards articulatory-based modification of speech

A fast table lookup based, statistical model driven non-uniform unit selection TTS

Statistical parametric speech synthesis using deep neural networks

Prediction of creaky voice from contextual factors

Complex cepstrum analysis based on the minimum mean squared error

Integrated automatic expression prediction and speech synthesis from text

Speaker and language independent voice quality classification applied to unlabelled corpora of expressive speech

Lightly supervised GMM VAD to use audiobook for speech synthesiser

Bootstrapping Text-to-Speech for speech processing in languages without an orthography

Maximum intelligibility-based close-loop speech synthesis framework for noisy environments

Speech synthesis using subband-coded multiband source components and sinusoids

Frame-level acoustic modeling based on Gaussian process regression for statistical nonparametric speech synthesis

Multi-distribution deep belief network for speech synthesis

Estimating phoneme formant targets and coarticulation parameters of conversational and clear speech

A comparative study of different classifiers for detecting depression from spontaneous speech

Speaker identification from shouted speech: Analysis and compensation

Instantaneous frequency and bandwidth estimation using filterbank arrays

Individuality-preserving voice conversion for articulation disorders based on non-negative matrix factorization

Estimation of lumped vocal fold mechanical properties from non-invasive microphone recordings

Adding controlled amount of noise to improve recognition of compressed and spectrally distorted speech

Yet another Gaussian mixture model-based feature compensation method for robust noisy-digit recognition

Audio head pose estimation using the direct to reverberant speech ratio

Predicting the effect of AGC on speech intelligibility of cochlear implant recipients in noise

Confidence index dynamic time warping for language-independent embedded speech recognition

Speech recognition using regularized minimum variance distortionless response spectrum estimation-based cepstral features

Embedding time warping in exemplar-based sparse representations of speech

Unsupervised discovery of linguistic structure including two-level acoustic patterns using three cascaded stages of iterative optimization

Lightly supervised learning from a damaged natural speech corpus

Weak top-down constraints for unsupervised acoustic model training

Accurate speech segmentation by mimicking human auditory processing

Audiovisual corpus to analyze whisper speech

Speaker-independent lips and tongue visualization of vowels

A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

Comparing two methods for crowdsourcing speech transcription

The spoken web search task at MediaEval 2012

GlobalPhone: A multilingual text & speech database in 20 languages

Improving ASR by integrating lecture audio and slides

Segmentation-based Mongolian LVCSR approach

On the (UN)importance of the contextual factors in HMM-based speech synthesis and coding

Towards reproducible evaluation of automotive hands-free systems in dynamic conditions

When should a speech coding quality increase be allowed within a talk-spurt?

A greedy approach to Linear Prediction with sparse residuals

Speech coding based on pitch synchrony and two-stage transformation

An extension of the PEAQ measure by a binaural hearing model

Feature analysis for the reverberation perception in speech signals

Backwards-compatible error propagation recovery for the amr codec over erasure channels

Lossless compression of G.711 speech using only look-up tables

Real-time implementations of sparse linear prediction for speech processing

Transient modeling for overlap-add sinusoidal model of speech

Time-scale modifications based on a full-band adaptive harmonic model

Reliable estimation of quality scores by a small calibrated listening panel

Riesz-transform-based demodulation of narrowband spectrograms of voiced speech

Feedback utterances for computer-adied language learning using accent reduction and voice conversion method

A dialogue game framework with personalized training using reinforcement learning for computer-assisted language learning

Audiovisual synthesis of exaggerated speech for corrective feedback in computer-assisted pronunciation training

A novel discriminative method for pronunciation quality assessment

Mispronunciation detection via dynamic time warping on deep belief network-based posteriorgrams

Toward unsupervised discovery of pronunciation error patterns using universal phoneme posteriorgram for computer-assisted language learning

Speed regularization and optimality in word classing

Converting Neural Network Language Models into back-off language models for efficient decoding in automatic speech recognition

Temporal kernel neural network language model

Incorporating semantic information to selection of web texts for language model of spoken dialogue system

Open vocabulary handwriting recognition using combined word-level and character-level language models

Language model verbalization for automatic speech recognition

Rich system combination for keyword spotting in noisy and acoustically heterogeneous audio streams

System combination and score normalization for spoken term detection

A high-performance Cantonese keyword search system

Exploiting diversity for spoken term detection

Discriminative articulatory models for spoken term detection in low-resource conversational settings

Zero resource graph-based confidence estimation for open vocabulary spoken term detection

Enhancing query expansion for semantic retrieval of spoken content with automatically discovered acoustic patterns

Latent semantic rational kernels for topic spotting on spontaneous conversational speech

Latent semantic modeling for slot filling in conversational understanding

Measuring semantic similarity by contextualword connections in Chinese news story segmentation

An empirical investigation of sparse log-linear models for improved dialogue act classification

Hierarchical discriminative model for spoken language understanding

Using a knowledge graph and query click logs for unsupervised learning of relation detection

A graph-based cross-lingual projection approach for spoken language understanding portability to a new language

Easy contextual intent prediction and slot detection

Multi-style adaptive training for robust cross-lingual spoken language understanding

Unsupervised domain adaptation for spoken document summarization with structured support vector machine

Intent focused summarization of caller-agent conversations

Minimal-resource phonetic language models to summarize untranscribed speech

Continuous asr for flexible incremental dialogue

On-line policy optimisation of Bayesian spoken dialogue systems via human interaction

Automated two-way entrainment to improve spoken dialog system performance

Understanding computer-directed utterances in multi-user dialog systems

Mmdagent—A fully open-source toolkit for voice interaction systems

Asgard: A portable architecture for multilingual dialogue systems

“Can you give me another word for hyperbaric?”: Improving speech translation using targeted clarification questions

A study on the effect of prosodic emphasis transfer on overall speech translation quality

Adaptation of lecture speech recognition system with machine translation output

Statistical machine translation based text normalization with crowdsourcing

Recurrent neural network language modeling for code switching conversational speech

Comparing RNNs and log-linear interpolation of improved skip-model on four Babel languages: Cantonese, Pashto, Tagalog, Turkish

Paraphrastic language models and combination with neural network language models

Multiple parallel hidden layers and other improvements to recurrent neural network language modeling

Comparison of feedforward and recurrent neural network language models

Morpheme-based feature-rich language models using Deep Neural Networks for LVCSR of Egyptian Arabic

Comparison of a bigram PLSA and a novel context-based PLSA language model for speech recognition

Use of latent words language models in ASR: A sampling-based implementation

Language model adaptation for video lectures transcription

Unsupervised topic model for broadcast program segmentation

Cross-language phrase boundary detection

Broadcast news story segmentation using latent topics on data manifold

Person name recognition in ASR outputs using continuous context models

Robust tree-structured Named Entities Recognition from speech

Semantic inference based on neural probabilistic language modeling for speech indexing

Sentiment extraction from natural audio streams

Perceptually inspired features for speaker likability classification

Interaction style detection based on Fused Cross-Correlation Model in spoken conversation

Continuous models of affect from text using n-grams

Co-training succeeds in Computational Paralinguistics

Interactive spoken content retrieval by extended query model and continuous state space Markov Decision Process

Speed improvements to Information Retrieval-based dynamic time warping using hierarchical K-Means clustering

Graph index based query-by-example search on a large speech data set

A tighter lower bound estimate for dynamic time warping

Weighted matrix factorization for spoken document retrieval

Effective pseudo-relevance feedback for spoken document retrieval

Multiple index combination for Japanese spoken term detection with optimum index selection based on OOV-region classifier

Using parallel tokenizers with DTW matrix combination for low-resource spoken term detection

Toward unsupervised model-based spoken term detection with spoken queries without annotated data

Zero resource spoken audio corpus analysis

Quantifying the value of pronunciation lexicons for keyword search in lowresource languages

A confidence-based approach for improving keyword hypothesis scores

Case based reasoning solution to the problem of sustained learning in keyword spotting

Sparse lexical representation for semantic entity resolution

Exceptions in language as learned by the multi-factor sparse plus low-rank language model

Fast online L1-dictionary learning algorithms for novel document detection

Joint topic-document modeling via low-dimensional sparse models

Building high-level features using large scale unsupervised learning

New types of deep neural network learning for speech recognition and related applications: an overview

Recent advances in deep learning for speech research at Microsoft

Improving deep neural networks for LVCSR using rectified linear units and dropout

Deep convolutional neural networks for LVCSR

Multilingual acoustic models using distributed deep neural networks

Advances in optimizing recurrent networks

Validation of acoustic models of auditory neural prostheses

Rank-1 approximation based multichannel wiener filtering algorithms for noise reduction in cochlear implants

SNR is not enough: Noise modulation and speech quality

Effect of individually tailored spectral change enhancement on speech intelligibility and quality for hearing-impaired listeners

Coherence preservation in multi-channel Wiener filtering based noise reduction for binaural hearing aids

A novel single channel speech enhancement approach by combining Wiener filter and dictionary learning

Recognition of harmonic sounds in polyphonic audio using a missing feature approach

Subband autocorrelation features for video soundtrack classification

Representing environmental sounds using the separable scattering transform

Real-time multi-microphone recognition of simultaneous sounds in a room environment

Supervised model training for overlapping sound events based on unsupervised source separation

Coping with the enemy: Advances in adversary-aware signal processing

Attacking the IDS learning processes

Fake iris detection using structured light

Timing side channels for traffic analysis

Protection against reverse engineering in digital cameras

Can reputation manipulation boost app sales in Android market?

Replication and optimization of hedge fund risk factor exposures

Growth optimal investment with threshold rebalancing portfolios under transaction costs

Locally stationary vector processes and adaptive multivariate modeling

FPGA based eigenfiltering for real-time portfolio risk analysis

Dynamical complexity analysis of multivariate financial data

Detecting asset value dislocations in multi-agent models of market microstructure

An overview of signal processing issues in chemical sensing

Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions

Sparse modal estimation of 2-D NMR signals

Active analysis of chemical mixtures with multi-modal sparse non-negative least squares

Recursive Least Squares algorithm dedicated to early recognition of explosive compounds thanks to multi-technology sensors

Monitoring network structure and content quality of signal processing articles on wikipedia

Open online platforms advancing DSP education

Sparse probit factor analysis for learning analytics

Signal processing education through concept discovery and resource selection practice

Teaching signal processing online: A report from the trenches

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VHR image change detection based on discriminative dictionary learning

Content Provider	IEEE Xplore Digital Library
Author	Kun Ding Chunlei Huo Yuan Xu Chunhong Pan
Copyright Year	2013
Description	Author affiliation: NLPR, Inst. of Autom., Beijing, China (Kun Ding; Chunlei Huo; Yuan Xu; Chunhong Pan)
Abstract	The difficulty of Very High Resolution (VHR) image change detection is mainly due to the low separability between the changed and unchanged class. The traditional approaches usually address the problem by solving the feature extraction and classification separately, which cannot ensure that the classification algorithm makes the best use of the features. Considering this, we propose a novel approach that combines the feature extraction and the classification task by utilizing the sparse representation algorithm with discriminative dictionary. Experiments on real data sets show that our method achieves effective results.
Starting Page	3512
Ending Page	3516
File Size	821183
Page Count	5
File Format	PDF
ISBN	9781479903566
ISSN	15206149
DOI	10.1109/ICASSP.2013.6638311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dictionaries Feature extraction Training Context Spatial resolution Matching pursuit algorithms discriminative dictionary Change detection VHR remote sensing image sparse representation
Content Type	Text
Resource Type	Article

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