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2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)

2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2012 IEEE International Workshop on Machine Learning for Signal Processing

2011 IEEE International Workshop on Machine Learning for Signal Processing

2010 IEEE International Workshop on Machine Learning for Signal Processing

MLSP 2010 paper index

Acknowledgements

MLSP 2010 programme committee

MLSP 2010 organising committee

MLSP 2010 author index

Mutual information based dimensionality reduction with application to non-linear regression

Functional data representation using correntropy locally linear embedding

Local dimensionality reduction for multiple instance learning

Multiplicative updates for t-SNE

Manifold-respecting probabilistic matrix tri-factorization

Single-frame image super-resolution using a Pearson type VII MRF

A one-pass resource-allocating codebook for patch-based visual object recognition

Learning spatial filters for multispectral image segmentation

Improperness measures for quaternion random vectors

Bayesian BCJR for channel equalization and decoding

Reinforcement learning method for energy efficient cooperative multiband spectrum sensing

Error-related potential recorded by EEG in the context of a p300 mind speller brain-computer interface

Removal of ballistocardiogram artifacts exploiting second order cyclostationarity

A constrained NMF algorithm for bold detection in fMRI

Sparse nonnegative matrix factorization using $ℓ^{0}-constraints$

Non-negative matrix factorization for parameter estimation in hidden Markov models

Contextual information access with Augmented Reality

Inferring task-relevant image regions from gaze data

The sixth annual MLSP competition, 2010

MLSP Competition, 2010: Description of first place method

MLSP Competition, 2010: Description of second place method

MLSP Competition, 2010: Description of third place method.

Support vector regression as conditional value-at-risk minimization with application to financial time-series analysis

A computationally-efficient alternative to kernel logistic regression

Bilingual sentence matching using Kernel CCA

Extension of Wirtinger calculus in RKH spaces and the Complex Kernel LMS

Leveraging Κ-nn for generic classification boosting

PASS-GP: Predictive active set selection for Gaussian processes

Ranking of gene regulators through differential equations and Gaussian processes

Persons tracking with Gaussian process joint particle filtering

Variational Bayes learning over multiple graphs

Archetypal analysis for machine learning

Model based learning of sigma points in unscented Kalman filtering

Sigma point methods in optimal smoothing of non-linear stochastic state space models

Variational inference and learning for non-linear state-space models with state-dependent observation noise

Estimating human predictability from mobile sensor data

Visual tracking with singular value particle filter

Multivariate Bayesian classification of tongue movement ear pressure signals based on the wavelet packet transform

The Markov selection model for concurrent speech recognition

Theoretical analysis of iterative weak spectral subtraction via higher-order statistics

SVM-based fast pedestrian recognition using a hierarchical codebook of local features

Machine learning for intrusion detection: Modeling the distribution shift

Chaotic time series prediction by combining echo-state networks and radial basis function networks

Transient analysis of an output signal based combination of two NLMS adaptive filters

Pruning reservoirs with Random Static Projections

Three-way analysis of Structural Health Monitoring data

A fixed point update for kernel width adaptation in information theoretic criteria

Music genre classification using the temporal structure of songs

Statistically linearized recursive least squares

Boundary compensated k-NN graphs

Convergence-guaranteed multiplicative algorithms for nonnegative matrix factorization with β-divergence

Fuzzy relational kernel clustering with Local Scaling Parameter Learning

Feature selection for regularized least-squares: New computational short-cuts and fast algorithmic implementations

Blind separation of three binary sources from one nonlinear mixture

A cross-validation approach to trajectory and shape reconstruction for rigid bodies

Semi-supervised remote sensing image classification via maximum entropy

Systematic estimation of ANN classification performance employing synthetic data

Smooth noisy PCA using a $1^{st}$ order roughness penalty

Sparse dictionary methods for EEG signal classification in face perception

Feature extraction via dynamic PCA for epilepsy diagnosis and epileptic seizure detection

Indoor location recognition using fusion of SVM-based visual classifiers

Automatic vocal effort detection for reliable speech recognition

Image prior combination in super-resolution image registration & reconstruction

Unsupervised document clustering using multi-resolution latent semantic density analysis

Bayesian mapping with probabilistic cubic splines

Statistical classification and proportion estimation - an application to a macroinvertebrate image database

Kalman filtering and smoothing solutions to temporal Gaussian process regression models

Fast online anomaly detection using scan statistics

Augmented Genetic Programming for automatic digital modulation classification

A fast algorithm for blind extraction of smooth complex sources with application in EEG conditioning

FAST L0-based sparse signal recovery

Single trial BCI operation via Wackermann parameters

Selection of non-uniformly spaced orientations for Gabor filters using multiple kernel learning

Dirichlet mixtures of graph diffusions for semi supervised learning

SNR-dependent filtering for Time Of Arrival estimation in high noise

Adaptive kernel ridge regression for image denoising

Features extraction via wavelet kernel PCA for data classification

Texture feature-based language identification using wavelet-domain BDIP, BVLC, and NRMA features

υ-structured support vector machines

A conditional independence perspective of variable selection

Extracting cues from speech for predicting severity of Parkinson'S disease

Novelty detection by nonlinear factor analysis for structural health monitoring

2009 IEEE International Workshop on Machine Learning for Signal Processing

2008 IEEE Workshop on Machine Learning for Signal Processing

2007 IEEE Workshop on Machine Learning for Signal Processing

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing

2005 IEEE Workshop on Machine Learning for Signal Processing

Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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