NDLI: Change detection in data streams through unsupervised learning

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2015 International Joint Conference on Neural Networks (IJCNN)

2014 International Joint Conference on Neural Networks (IJCNN)

The 2013 International Joint Conference on Neural Networks (IJCNN)

The 2012 International Joint Conference on Neural Networks (IJCNN)

A novel image watermarking scheme using Extreme Learning Machine

Analysis of the backpropagation algorithm using linear algebra

Neural network PMV estimation for model-based predictive control of HVAC systems

Push-pull separability objective for supervised layer-wise training of neural networks

Regularization for the kernel recursive least squares CMAC

Towards realtime stance classification by spiking neural network

Learning real-world stimuli by single-spike coding and tempotron rule

Online learning in Bayesian Spiking Neurons

Learning transmission delays in spiking neural networks: A novel approach to sequence learning based on spike delay variance

Discriminating classes collapsing for Globality and Locality Preserving Projections

A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis

Multi-scale local pattern co-occurrence matrix for textural image classification

Neurohydrodynamics as a heuristic mechanism for cognitive processes in decision-making

A methodology for revealing and monitoring the strategies played by neural networks in mind games

Neuro-cognitive model of move location in the game of Go

Multi-objective optimization and Meta-learning for SVM parameter selection

On performance of meta-learning templates on different datasets

Make it cheap: Learning with O(nd) complexity

Real-time change detection in time series based on growing feature quantization

Evolving granular neural network for fuzzy time series forecasting

Downscaling temperature and precipitation using support vector regression with evolutionary strategy

Probability density function estimation based over-sampling for imbalanced two-class problems

Local linear discriminant analysis with composite kernel for face recognition

Sleep stages classification based on temporal pattern recognition in neural network approach

A study on CPG model transition swing and stance pattern with interstitial cells

A generalized asynchronous digital spiking neuron: Theoretical analysis and compartmental model

Bursting analysis and synapse mechanism of a piece-wise constant spiking neuron model

Asymmetric Spatial Pattern for EEG-based emotion detection

Supervised brain emotional learning

A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach

Hierarchical clustering identifies hub nodes in a model of resting-state brain activity

Response to external input of chaotic neural networks based on Newman-Watts model

How well do oscillator models capture the behaviour of biological neurons?

Growing Self-organizing Trees for knowledge discovery from data

Semi-supervised hierarchical clustering for personalized web image organization

A spectral algorithm for topographical Co-clustering

Using a Gaussian mixture neural network for incremental learning and robotics

Neural-network-based 3-D localization and inverse kinematics for target grasping of a humanoid robot by an active stereo vision system

Measuring impacts using Support Vector Machines on a standing humanoid robot

Neural network based remote sensing image classification in urban area

An hierarchical approach towards road image segmentation

Lossless image coding by cellular neural networks with backward error propagation learning

Uncertainty quantification for wind farm power generation

Forecasting of photovoltaic power yield using dynamic neural networks

Sparse heteroscedastic Gaussian process for shortterm wind speed forecasting

Bearing fault diagnosis by EXIN CCA

Traffic prediction using a Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network

Laplacian Regularized Subspace Learning for interactive image re-ranking

Cognitively motivated learning of categorical data with Modeling Fields Theory

Decision making guided by emotion

I think therefore I feel: Possible neural mechanisms for knowledge-based pleasure

Measuring human comprehension from nonverbal behaviour using Artificial Neural Networks

Interaction of individually and collectively treated neurons for explicit class structure in self-organizing maps

Dimension Selective Self-Organizing Maps for clustering high dimensional data

Optimization of Geodesic Self-Organizing Map

Rapid isolation of small oscillation faults via deterministic learning

Alzheimer's disease detection using a Projection Based Learning Meta-cognitive RBF Network

Color reproduction by means of a Compactly Supported Radial Basis Function space mapping

Influence of unstable patterns in layered cluster oriented ensemble classifier

Query based hybrid learning models for adaptively adjusting locality

New discoveries in balanced ensemble learning

Clustering and use of spatial and frequency information in a biologically inspired approach to image classification

A computational model of early visual cortex using konio-cellular pathway projections

Face recognition based on sparse representation and error correction SVM

Pattern recognition computation in a spiking neural network with temporal encoding and learning

Artificial neuron with somatic and axonal computation units: Mathematical and neuromorphic models of persistent firing neurons

A self-organizing multi-memory system for autonomous agents

Similarity clustering for data fusion in Wireless Sensor Networks using k-means

Restricted Boltzmann Machines and Deep Belief Networks on multi-core processors

Analysis and learning of periodic orbits in dynamic binary neural networks

Reward hierarchical temporal memory

Attention-driven auditory stream segregation using a SOM coupled with an excitatory-inhibitory ANN

Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing?

Visual, linguistic data mining using Self- Organizing Maps

A data mining approach for preventing undergraduate students retention

A simple probabilistic spiking neuron model with Hebbian learning rules

Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning

Scalable multi-precision simulation of spiking neural networks on GPU with OpenCL

The conic-segmentation support vector machine - a target space method for multiclass classification

Implementation and comparison of SVM-based Multi-Task Learning methods

A statistical analysis of soft-margin support vector machines for non-separable problems

A recurrent neural network for inter-localization of mobile phones

Ubiquitous deployment configuration of indoor location services

Ensemble neural network rule extraction using Re-RX algorithm

FPGA based implementation of a Fuzzy Neural Network modular architecture for embedded systems

Hybrid architecture for gesture recognition: Integrating fuzzy-connectionist and heuristic classifiers using fuzzy syntactical strategy

Extreme learning machines for intrusion detection

Enhancing classification performance of multi-class imbalanced data using the OAA-DB algorithm

Implementation of human conveyance vehicle using model-free AORCMAC control strategy

Construction of neural network-based prediction intervals using particle swarm optimization

A RSCMAC based forecasting for Solar Irradiance from local weather information

Hybrid adaptive control based on a Hopfield dynamic neural network for nonlinear dynamical systems

Online efficient learning with quantized KLMS and L regularization

Towards improved theoretical problems for autonomous discovery

Coordinating many agents in stochastic games

Detecting popular topics in micro-blogging based on a user interest-based model

Comparing recurrent networks for time-series forecasting

Novel highly nonlinear memristive circuit elements for neural networks

Prediction of histologic grade in breast cancer using an artificial neural network

Rotor Associative Memory with a Periodic Activation Function

A biologically-inspired affective model based on cognitive situational appraisal

Computational intelligence techniques for modelling an economic system

Biasing the overlapping and non-overlapping sub-windows of EEG recording

Clustering and selection of neural networks using adaptive differential evolution

Combining feature ranking algorithms through rank aggregation

Steel defect classification with Max-Pooling Convolutional Neural Networks

Support vector machines for program analysis

Autocorrelation and partial autocorrelation functions to improve neural networks models on univariate time series forecasting

Time Series Based Link Prediction

A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems

Clustering action data based on amount of exercise for use-model based health care support

A sequence based dynamic SOM model for text clustering

The Adaptive Critic Learning Agent (ACLA) algorithm: Towards problem independent neural network based optimizers

Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM

QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes

A neural networks-based fitting to high energy stopping power data for heavy ions in solid matter

The prediction approach with Growing Hierarchical Self-Organizing Map

Sequential causal estimation and learning from time-varying images

Integrating feature selection and Min-Max Modular SVM for powerful ensemble

Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections

A short length window-based method for islanding detection in distributed generation

An algorithm for computing attribute reducts based on graph search strategy

Wind power forecasting by a new local quadratic wavelet neural network

Analysis of phase relationship in ECoG using Hilbert transform and information theoretic measures

Integration of sensorimotor mappings by making use of redundancies

A novel ranking method of web search result using clustering and concordance count

A statistical aimbot detection method for online FPS games

Visualising large-scale neural network models in real-time

Skull-closed autonomous development: WWN-6 using natural video

A quantum information retrieval approach to memory

Control of coffee grinding with Artificial Neural Networks

Transductive learning algorithms for nonstationary environments

An adaptive kernel width update for correntropy

A foreign exchange market trading system by combining GHSOM and SVR

Analysis of Multilayer Perceptron networks in the multicore era

Neural approach for personalised emotional model in human-robot interaction

Mental non-motor imagery tasks classifications of brain computer interface for wheelchair commands using genetic algorithm-based neural network

Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines

Automatic detection of different walking conditions using inertial sensor data

Cloud based activity monitoring system for health and sport

Preliminary investigation of evaluating surgical performance using an IMU device

Iterative temporal learning and prediction with the sparse online echo state gaussian process

Augmented Echo State Networks with a feature layer and a nonlinear readout

Taming the reservoir: Feedforward training for recurrent neural networks

Q value-based Dynamic Programming with SARSA Learning for real time route guidance in large scale road networks

Integral reinforcement learning with explorations for continuous-time nonlinear systems

Reinforcement learning with guided policy search using Gaussian processes

Adaptive neural network tracking control of robotic systems

Adaptive neuro-wavelet control for the ship trajectory tracking problem

Adaptive dynamic programming with stable value iteration algorithm for discrete-time nonlinear systems

Deep, super-narrow neural network is a universal classifier

Thin Plate Spline Latent Variable Models for dimensionality reduction

Low-cost volume estimation by two-view acquisitions: A computational intelligence approach

Particle filters and beamforming for EEG source estimation

Test sample size determination for biometric systems based on confidence elasticity

Finger vein verification using Occurrence Probability Matrix (OPM)

Quality measurement of unwrapped three-dimensional fingerprints: A neural networks approach

Learning of composite actions and visual categories via grounded linguistic instructions: Humanoid robot simulations

Development of invariant feature maps via a computational model of simple and complex cells

A neural approach for robot navigation based on cognitive map learning

Optimal control design for nonlinear systems: Adaptive dynamic programming based on fuzzy critic estimator

Reinforcement learning control based on multi-goal representation using hierarchical heuristic dynamic programming

Adaptive dynamic programming-based state quantized networked control system without value and/or policy iterations

Wind forecasting and wind power generation: Looking for the best model based on artificial intelligence

Self-reorganizing TSK fuzzy inference system with BCM theory of meta-plasticity

Data driven fitting sample selection for time series forecasting with neural networks

Generative models for automatic recognition of human daily activities from a single triaxial accelerometer

Body area segmentation from visual scene based on predictability of neuro-dynamical system

Reservoir computing ensembles for multi-object behavior recognition

Dynamic cluster formation using populations of spiking neurons

Incremental learning algorithm for spatio-temporal spike pattern classification

Landmine visualization system based on multiple complex-valued SOMs to integrate multimodal information

Enhancing MP3 encoding by utilizing a predictive Complex-Valued Neural Network

On the fundamental properties of fully quaternionic hopfield network

Intelligent approaches in locomotion

Energy savings in HVAC systems using discrete model-based predictive control

Clustered ensemble neural network for breast mass classification in digital mammography

Just-in-time ensemble of classifiers

Semi-supervised learning in initially labeled non-stationary environments with gradual drift

Fuzzy associative learning of feature dependency for time series forecasting

Integrating awareness in user oriented route recommendation system

Transfer learning for Latin and Chinese characters with Deep Neural Networks

Extension of knowledge-driven harmonization model for tonal music

Improving the Quickprop algorithm

Highly reliable breast cancer diagnosis with cascaded ensemble classifiers

Connective prediction using machine learning for implicit discourse relation classification

Continuous attractors of recurrent neural networks with complex-valued weights

A new geometric recurrent neural network based on radial basis function and Elman models

Performance of quadratic assignment problem by hopfield NN with periodic brake

Reasoning with heuristics and induction: An account based on the CLARION cognitive architecture

Natural language neural network and its application to question-answering system

Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification

Composite kernel based SVM for hierarchical multi-label gene function classification

Increasing level of confidence of iris biometric matching

Accurate prediction of error in Haplotype Inference methods through neural networks

Design of adaptive fuzzy-neural-network control for DC-DC boost converter

Rotation-invariant categorization of colour images using the Radon transform

Construct adaptive template array for magnetic resonance images

A neuroscientific approach to choice modeling: Electroencephalogram (EEG) and user preferences

Model-based pupil and iris localization

Memristor crossbar based hardware realization of BSB recall function

Trajectory tracking control of the guiding and following mobile robots: Elliptic collision-Free approach

Classification of behavior patterns with trajectory analysis used for event site

Multiscale saliency detection using principle component analysis

Fast predictive inverse neurocontrol: Comparative simulation and experiment

Unsupervised up-to-bottom hierarchical clustering elastic net algorithm for TSP

A comparison of learning speed and ability to cope without exploration between DHP and TD(0)

Circle-Clustering: A new heuristic partitioning method for the clustering problem

3D depth camera based human posture detection and recognition Using PCNN circuits and learning-based hierarchical classifier

A small-world of neuronal functional network from multi-electrode recordings during a working memory task

Image segmentation via ant colony algorithm and loopy belief propagation algorithm

Performance improvement of heuristic algorithms for large scale combinatorial optimization problems using Lebesgue Spectrum Filter

Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging

A neurofeedback training paradigm for motor imagery based Brain-Computer Interface

Memristor-based synapse design and training scheme for neuromorphic computing architecture

Spiking neuron model of basal forebrain enhancement of visual attention

A simple platform of brain-controlled mobile robot and its implementation by SSVEP

Motion sickness estimation system

A wearable activity sensor system and its physical activity classification scheme

A fingerprint spoof detection based on MLP and SVM

A note on adaptive L regularization

Analysis of pedestrian spatial behaviour using GDTW-P-SVMs

Model of top-down / bottom-up visual attention for location of salient objects in specific domains

Optimal watermarking scheme for breath sound

Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks

Bistable properties of a memory-related gene regulatory network

Shape deformation descriptor using Fourier analysis

Human and robotics hands grasping danger

A novel approach to robot vision using a hexagonal grid and spiking neural networks

The Content-Based Image Retrieval using the Pulse Coupled Neural Network

Object-shape recognition from tactile images using a feed-forward neural network

Online vigilance analysis based on electrooculography

Real time gesture recognition system using posture classifier and Jordan recurrent neural network

Real-time 3D pose and correspondence from stereo image sequences by combinatorial optimization

A position based visual tracking system for a 7 DOF robot manipulator using a Kinect camera

GA based optimization of NN-SANARX model for adaptive control of nonlinear systems

Evaluation function optimization for the genetic algorithm based tuning of NN-ANARX model structure

Hardware spiking neurons design: Analog or digital?

Odor recognition systems for natural gas odorization monitoring

Key-frame extraction of wildlife video based on semantic context modeling

Dynamic initiation and dual-tree complex wavelet feature-based classification of motor imagery of swallow EEG signals

Extracting and selecting discriminative features from high density NIRS-based BCI for numerical cognition

A hierarchal classifier for identifying independent components

Developmental approach for interactive object discovery

Querying representative points from a pool based on synthesized queries

Activity recognition in collaborative environments

Spin based neuron-synapse module for ultra low power programmable computational networks

An HMM-based change detection method for intelligent embedded sensors

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches

A proposal for human action classification based on motion analysis and artificial neural networks

Off-line English and Chinese signature identification using foreground and background features

Vector control of a grid-connected rectifier/inverter using an artificial neural network

Chebyshev Functional Link Neural Network-based modeling and experimental verification for photovoltaic arrays

Novel heuristic and SVM based optimization algorithm for improving distribution feeder performance

Particle competition and cooperation in networks for semi-supervised learning with concept drift

Keyword extraction using backpropagation neural networks and rule extraction

Predicting missing links in social networks with hierarchical dirichlet processes

Prediction of spring discharge by neural networks using orthogonal wavelet decomposition

Traffic modeling and identification using a Self-adaptive Fuzzy Inference Network

Data assimilation using NeuroEvolution of Augmenting Topologies

Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System

Towards conservative helicopter loads prediction using computational intelligence techniques

Automatic classification of human motions using Doppler radar

Comparing textural features for music genre classification

Large margin linear discriminative visualization by Matrix Relevance Learning

Neurosphere fate prediction: An analysis-synthesis approach for feature extraction

A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation

Neural and fuzzy dynamic programming for under-actuated systems

Neural inverse optimal control for discrete-time uncertain nonlinear systems stabilization

State transition control of a five-fingered pneumatic hand using a neural network

A biologically inspired action selection algorithm based on principles of neuromodulation

Support vector machine-based classification of rock texture images aided by efficient feature selection

Population-based routing in the SpiNNaker neuromorphic architecture

Exploiting device mismatch in neuromorphic VLSI systems to implement axonal delays

Building block of a programmable neuromorphic substrate: A digital neurosynaptic core

Redundancy-Constrained feature selection with radial basis function networks

Feature selection based on sparse imputation

Feature selection via regularized trees

The convergence rate of the MDM algorithm

A unified model for support vector machine and support vector data description

A semi-supervised formulation to binary kernel spectral clustering

Inference of S-system models of genetic networks by solving linear programming problems and sets of linear algebraic equations

Unified Knowledge Based Economy neural forecasting map

Reservoir-computing-based, biologically-inspired artificial neural network for modeling of a single machine infinite bus power system

A scalable wide area monitoring system using cellular neural networks

Load profile generator and load forecasting for a renewable based microgrid using Self Organizing Maps and neural networks

Discriminative kernel hat matrix: A new tool for automatic outlier identification

Semi-supervised clustering with multi-viewpoint based similarity measure

Bounded Component Analysis of the training error

Dynamically Weighted Classification with Clustering to tackle non-stationarity in Brain computer Interfacing

Relevance learning for short high-dimensional time series in the life sciences

A method for analysis and correction of cross-talk effects in pathway analysis

Estimation of functional brain connectivity from electrocorticograms using an artificial network model

Seizure detection based on spatiotemporal correlation and frequency regularity of scalp EEG

Fractal analysis of resting state functional connectivity of the brain

Incremental update of biometric models in face-based video surveillance

Detector ensembles for face recognition in video surveillance

A fast large scale iris database classification with Optimum-Path Forest technique: A case study

Complex chemotaxis behaviors of C. elegans with speed regulation achieved by dynamic neural networks

A group-decision making model of orientation detection

Human implicit intent transition detection based on pupillary analysis

Autonomous learning of collaboration among robots

A committee of MLP with adaptive slope parameter trained by the quasi-Newton method to solve problems in hydrologic optics

Negative space template: A novel feature to describe activities in video

Fingerprint reference point detection based on local ridge orientation patterns of fingerprints

A projective clustering algorithm based on significant local dense areas

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection

Online learning for collaborative filtering

Sequence learning using the adaptive suffix trie algorithm

A study on cost-effective P2P traffic classification

Various artifacts reduction algorithms for EEG recorded in continuous fMRI scan environment

Evolving linear neural networks for features space dimensionality reduction

Neural representation and learning for multi-view human action recognition

Application of the IPSONet in face detection

Face recognition with manifold-based kernel discriminant analysis

Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition

Parallel learning of large-scale multi-label classification problems with min-max modular LIBLINEAR

A new Granular Computing approach for sequences representation and classification

Parallel algorithms for tensor product-based inexact graph matching

Sequence recognition with spatio-temporal long-term memory organization

Discovering Frequent Closed Episodes from an event sequence

Electricity load forecasting using non-decimated wavelet prediction methods with two-stage feature selection

A modified Wavelet-Common Spatial Pattern method for decoding hand movement directions in brain computer interfaces

Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure

Robust EEG channel selection across sessions in brain-computer interface involving stroke patients

A fault/anomaly system prognosis using a data-driven approach considering uncertainty

On-line reconstruction of missing data in sensor/actuator networks by exploiting temporal and spatial redundancy

A distributed architecture for sensor fault detection and isolation using adaptive approximation

On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA

On-line handwritten Chinese character recognition based on inter-radical stochastic context-free grammar

Hybrid neural network under-actuated sliding-mode control for trajectory tracking of quad-rotor unmanned aerial vehicle

Nonlinear system identification based on SVR with quasi-linear kernel

The sludge volume index soft sensor model based on PCA-ElmanNN

Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning

One-shot learning in the road sign problem

Kernel and spectral methods for solving the permutation problem in frequency domain BSS

Implementation of configurable and multipurpose spiking neural networks on GPUs

A novel target recognition scheme for WSNs

A modified fast recursive hidden nodes selection algorithm for ELM

A simple synchronization criterion for a complex network based on the feedback

Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids

Performance analysis of nonlinear echo state network readouts in signal processing tasks

Sparse representation based on matrix rank minimization and k-means clustering for recognition

Real time on-chip implementation of dynamical systems with spiking neurons

Multilayer perceptron learning with particle swarm optimization for well log data inversion

A generalized canonical correlation analysis based method for blind source separation from related data sets

Multicriteria clustering with weighted Tchebycheff distances for relational data

A spiking network for object and ego-motion detection in roving robots

Using unreliable data for creating more reliable online learners

Semi-supervised detection of collective anomalies with an application in high energy particle physics

Producing implicit diversity in ANN ensembles

Self-organization of object features representing motion using Multiple Timescales Recurrent Neural Network

Extended maximum a posteriori-based kernel classification trained by linear programming (MAPLP) with adjustment parameter (MAPLP-P) and difference-type objective function (MAPLP-D)

Using Bootstrap AdaBoost with KNN for ECG-based automated obstructive sleep apnea detection

An experimental evaluation of pairwise adaptive support vector machines

Nearest Neighbor Distributions for imbalanced classification

A KNN-SVM hybrid model for cursive handwriting recognition

Offline handwritten signature verification through network radial basis functions optimized by Differential Evolution

Kernel classifier with Correntropy loss

Redundancy reduction in self-organising map merging for scalable data clustering

Learning algorithm for self-organizing map classification of electroencephalogram patterns with individual differences

A new model for measuring the accuracies of majority voting ensembles

Multi-Layer Perceptron with positive and negative pulse glial chain for solving two-spirals problem

Kernel spectral clustering for community detection in complex networks

IFKCN: Applying fuzzy Kohonen clustering network to interval data

A sparse kernel representation method for image classification

Adaptive dynamic TSKCMAC neural networks for prediction and identification

Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size

Face sequence recognition using Grassmann Distances and Grassmann Kernels

Feature space transformation for transfer learning

Kernel enhanced multilayer perceptron for industrial process diagnosis

Online learning using a Bayesian surprise metric

Change detection in data streams through unsupervised learning

Multi-Label Hierarchical Classification using a Competitive Neural Network for protein function prediction

A neural correlate to learning decision and control using functional synaptic efficacy

Sampling + reweighting: Boosting the performance of AdaBoost on imbalanced datasets

Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee

A genetic-based approach to features selection for ensembles using a hybrid and adaptive fitness function

Extending the functional training approach for B-splines

Improving kernel locality-sensitive hashing using pre-images and bounds

Hybrid particle swarm optimization based normalized radial basis function neural network for hypoglycemia detection

Predicting protein-ligand binding site with differential evolution and support vector machine

A particle swarm optimization-based neural network for detecting nocturnal hypoglycemia using electroencephalography signals

Dynamic behaviors of hybrid Lotka-Volterra recurrent neural networks with memristor characteristics

Online prediction of time series data with recurrent kernels

Model-based articulatory phonetic features for improved speech recognition

Static and dynamic memory to simulate higher-order cognitive tasks

Surface EMG signals determinism analysis based on recurrence plot for hand grasps

Mental practice and verbal instructions execution: A cognitive robotics study

Brain signal pattern of engrossed subjects using near infrared spectroscopy (NIRS) and its application to TV commercial evaluation

Understanding human implicit intention based on frontal electroencephalography (EEG)

Are current gait-related artifact removal techniques useful for low-complexity BCIs?

An ensemble approach for ordinal threshold models applied to liver transplantation

Classifying malignant brain tumours from $^{1}H-MRS$ data using Breadth Ensemble Learning

Improved link-based cluster ensembles

Challenges for the policy representation when applying reinforcement learning in robotics

Tree-based Fitted Q-iteration for Multi-Objective Markov Decision problems

Contextual multi-armed bandits for web server defense

Futures hedging using clusters with dynamic behavior of market fluctuation

Graph-based coupled behavior analysis: A case study on detecting collaborative manipulations in stock markets

Self-organizing neural networks for learning air combat maneuvers

Region analysis through close contour transformation using growing neural gas

Subjects on objects in contexts: Using GICA method to quantify epistemological subjectivity

A voxel selection method for the multivariate analysis of imaging genetics data

Probabilistic Latent Semantic Analysis for prediction of Gene Ontology annotations

Determining cellularity status of tumors based on histopathology using hybrid image segmentation

A projection based learning in Meta-cognitive Radial Basis Function Network for classification problems

Geometric spherical networks for Visual Data processing

Designing Beta Basis Function Neural Network for optimization using Artificial Bee Colony (ABC)

Self-organizing reservior computing with dynamically regulated cortical neural networks

Improved spike-timed mappings using a tri-phasic spike timing-dependent plasticity rule

Timing-based control via echo state network for soft robotic arm

Chaotic Quaternionic Associative Memory

Pattern dependency of one-to-many association ability in Chaotic Complex-valued Multidirectional Associative Memory with variable scaling factor

Memristor models for chaotic neural circuits

Design and implementation of BCM rule based on spike-timing dependent plasticity

Emergence of competitive control in a memristor-based neuromorphic circuit

Function approximation with uncertainty propagation in a VLSI spiking neural network

Decision tree models for developing molecular classifiers for cancer diagnosis

ANN validation system for ICU neonatal data

Towards interpretable classifiers with blind signal separation

Multi-instance learning using recurrent neural networks

A weighting approach for autoassociative memories to improve accuracy in memorization

Recurrent competitive networks can learn locally excitatory topologies

Detecting overlapping structures via network-based competitive learning

Learning spatio-temporally invariant representations from video

An iterative algorithm for singular value decomposition on noisy incomplete matrices

H control of unknown discrete-time nonlinear systems with control constraints using adaptive dynamic programming

Value-gradient learning

The divergence of reinforcement learning algorithms with value-iteration and function approximation

Automatic segmentation of cervical vertebrae in X-ray images

Feature subset selection for automatically classifying anuran calls using sensor networks

Large pose invariant face recognition using feature-based recurrent neural network

OntoHop: An information filtering agent using hopfield nets and ontologies

Optimizing the moving average

An improved neural network ensemble model of Aldose Reductase inhibitory activity

Layered_CasPer: Layered cascade artificial neural networks

Using semi-supervised learning in multi-label classification problems

Abdominal CTA image analisys through active learning and decision random forests: Aplication to AAA segmentation

Experimental study on human-machine interaction for dynamical balancing control based on a building block type device with parallel two-wheeled vehicles

Central pattern generator and its learning via simultaneous perturbation method

Constructing minimum volume surfaces using level set methods for novelty detection

Multi-GPU based camera network system keeps privacy using growing neural gas

Time coding output neurons in digital artificial neural networks

Probabilistic-based neural network implementation

Passivity and passification for a class of singularly perturbed nonlinear systems via neural networks

Linear basis-function t-SNE for fast nonlinear dimensionality reduction

Learning sparse representation via a nonlinear shrinkage encoder and a linear sparse decoder

Modelling and inverting complex-valued wiener systems

Complex-valued neuro-fuzzy inference system for wind prediction

Using complex-valued Levenberg-Marquardt algorithm for learning and recognizing various hand gestures

Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex

A comparative evaluation of the Generative Topographic Mapping and the Elastic Net for the formation of Ocular Dominance stripes

A SOM-based model for multi-sensory integration in the superior colliculus

A nonparametric criterion for the selection of the number of factors and nonnegative extension for gradient-based matrix factorization

Mixture model-based functional discriminant analysis for curve classification

Activity recognition using body mounted sensors: An unsupervised learning based approach

Efficient design of triplet based Spike-Timing Dependent Plasticity

Event-driven MLP implementation on neuromimetic hardware

Spike timing dependent plasticity with memristive synapse in neuromorphic systems

Autonomous reinforcement learning on raw visual input data in a real world application

Learning skills from play: Artificial curiosity on a Katana robot arm

Improving wet clutch engagement with reinforcement learning

A unified approach to evolving plasticity and neural geometry

Why is it hard to induce long-term depression?

The emergence of polychronous groups under varying input patterns, plasticity rules and network connectivities

Learning similarity metric with SVM

Efficient algorithms for linear summed error structural SVMs

A memory efficient graph kernel

Stimulus dependent habituation in a bottom - up brain inspired model of learning and memory

Modeling attentional loop in the insect Mushroom Bodies

Learning from positive and negative rewards in a spiking neural network model of basal ganglia

Robustness of kernel based regression: Influence and weight functions

Class imbalance robust incremental LPSVM for data streams learning

An information theoretic kernel algorithm for robust online learning

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction

A hierarchical Bayesian model for pattern recognition

Learning multiple pooling combination for image classification

Learning on the compact Stiefel manifold by a cayley-transform-based pseudo-retraction map

Bayesian Neural Network with and without compensation for competing risks

Sparse methods for wind energy prediction

A discrete-time switching neural network for quadratic programming

Modified cellular simultaneous recurrent networks with cellular particle swarm optimization

Flexible internal body models for motor control: On the convergence of constrained dual quaternion mean of multiple computation networks

Development of Fast Incremental Slow Feature Analysis (F-IncSFA)

A direct perception for decision making of a service robot

Interactive categorization of living space based on simultaneous localization and mapping

Decentralized control of nonlinear multi-agent systems using single network adaptive critics

Design of the Self-Constructing Fuzzy Neural Network controller for a sliding door system

Traffic signal optimization using Ant Colony Algorithm

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Change detection in data streams through unsupervised learning

Content Provider	IEEE Xplore Digital Library
Author	Cabanes, G. Bennani, Y.
Copyright Year	2012
Description	Author affiliation: LIPN-CNRS, UMR 7030, 99 Avenue J-B. Clément, 93430 Villetaneuse, France (Cabanes, G.; Bennani, Y.)
Abstract	In many cases, databases are in constant evolution, new data is arriving continuously. Data streams pose several unique problems that make obsolete the applications of standard data analysis methods. Indeed, these databases are constantly on-line, growing with the arrival of new data. In addition, the probability distribution associated with the data may change over time. We propose in this paper a method of synthetic representation of the data structure for efficient storage of information, and a measure of dissimilarity between these representations for the detection of change in the stream structure.
Starting Page	1
Ending Page	6
File Size	2080589
Page Count	6
File Format	PDF
ISBN	9781467314886
ISSN	21614393
e-ISBN	9781467314909
e-ISBN	9781467314893
DOI	10.1109/IJCNN.2012.6252735
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prototypes Density functional theory Spirals Databases Data models Density measurement Data structures data streams Concept drift usupervised lerning
Content Type	Text
Resource Type	Article

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