Christian Jutten

Orcid: 0000-0002-4477-4847

Affiliations:
  • Grenoble Institute of Technology, France


According to our database1, Christian Jutten authored at least 370 papers between 1989 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2008, "For contributions in source separation and independent component analysis".

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2023
SPS Members, You Are All Heirs of Fourier! [From the Editor].
IEEE Signal Process. Mag., November, 2023

SPM Is Your Magazine - You Are Both Reader and Author: Contribute to IEEE Signal Processing Magazine [From the Editor].
IEEE Signal Process. Mag., September, 2023

IEEE Signal Processing Society 75th Anniversary During ICASSP 2023: Remembering the past, engaging with the present, and building the future [From the Editor].
IEEE Signal Process. Mag., July, 2023

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors].
IEEE Signal Process. Mag., July, 2023

Celebrating Technological Breakthroughs and Navigating the Future With Care [From the Editor].
IEEE Signal Process. Mag., June, 2023

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors].
IEEE Signal Process. Mag., June, 2023

In Memoriam: Enders Anthony Robinson [In Memoriam].
IEEE Signal Process. Mag., May, 2023

Promoting Integrity and Knowledge for the Well-Being of Humanity and Peace [From the Editor].
IEEE Signal Process. Mag., May, 2023

In Remembrance of Dr. Harry L. Van Trees [In Memoriam].
IEEE Signal Process. Mag., May, 2023

Open and Reproducible Science: Desirable or Even Mandatory, But Not So Simple! [From the Editor].
IEEE Signal Process. Mag., March, 2023

Beginning a Special Year for Our Society [From the Editor].
IEEE Signal Process. Mag., 2023

Improving embedding of graphs with missing data by soft manifolds.
CoRR, 2023

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria.
CoRR, 2023

2022
Scientific Integrity and Misconduct in Publications: Guidance from the IEEE Publishing Ethics Team [SP Forum].
IEEE Signal Process. Mag., 2022

Scientific Integrity: A Duty for Researchers [From the Editor].
IEEE Signal Process. Mag., 2022

Think About Making Your Signal Processing Projects Compatible With Sustainable Development [From the Editor].
IEEE Signal Process. Mag., 2022

Trusting in the Sciences Requires Explainability [From the Editor].
IEEE Signal Process. Mag., 2022

Ethical Dilemmas in the Sciences [From the Editor].
IEEE Signal Process. Mag., 2022

Balancing Artificial and Natural Intelligence [From the Editor].
IEEE Signal Process. Mag., 2022

Ethical and Ecological Issues in Signal Processing [From the Editor].
IEEE Signal Process. Mag., 2022

CorrIndex: A permutation invariant performance index.
Signal Process., 2022

Delve into Multiple Sclerosis (MS) lesion exploration: A modified attention U-Net for MS lesion segmentation in Brain MRI.
Comput. Biol. Medicine, 2022

2021
Band-Stop Smoothing Filter Design.
IEEE Trans. Signal Process., 2021

Robust Sensor Placement for Signal Extraction.
IEEE Trans. Signal Process., 2021

Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization.
IEEE Trans. Signal Process., 2021

Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection.
IEEE Trans. Geosci. Remote. Sens., 2021

Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities.
IEEE Trans. Biomed. Eng., 2021

Affects and Emotions in IEEE Signal Processing Magazine [From the Editor].
IEEE Signal Process. Mag., 2021

Think Outside the Box! [From the Editor].
IEEE Signal Process. Mag., 2021

Advances in Science Must Benefit All Humanity [From the Editor].
IEEE Signal Process. Mag., 2021

Introducing SPM's New Team of Area Editors: Part 2 [From the Editor].
IEEE Signal Process. Mag., 2021

Introducing SPM's New Team of Area Editors: Part 1 [From the Editor].
IEEE Signal Process. Mag., 2021

Starting a Three-Year Journey With IEEE Signal Processing Magazine [From the Editor].
IEEE Signal Process. Mag., 2021

Forward-backward filtering and penalized least-Squares optimization: A Unified framework.
Signal Process., 2021

A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection.
CoRR, 2021

Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction.
CoRR, 2021

A Hypothesis Testing Approach to Nonstationary Source Separation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry.
IEEE Trans. Image Process., 2020

3-D Interface for the P300 Speller BCI.
IEEE Trans. Hum. Mach. Syst., 2020

Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction.
IEEE Trans. Biomed. Eng., 2020

Improved smoothness priors using bilinear transform.
Signal Process., 2020

Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements.
Signal Process., 2020

Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model.
IEEE Geosci. Remote. Sens. Lett., 2020

Addressing Reliability of Multimodal Remote Sensing to Enhance Multisensor Data Fusion and Transfer Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Novel Pruning Approach for Bagging Ensemble Regression Based on Sparse Representation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

New Dictionary Learning Methods for Two-Dimensional Signals.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Joint Independent Subspace Analysis: Uniqueness and Identifiability.
IEEE Trans. Signal Process., 2019

Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms.
IEEE Trans. Image Process., 2019

Riemannian Procrustes Analysis: Transfer Learning for Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2019

A second-order statistics method for blind source separation in post-nonlinear mixtures.
Signal Process., 2019

Schur's Lemma for Coupled Reducibility and Coupled Normality.
SIAM J. Matrix Anal. Appl., 2019

Text Mining with Constrained Tensor Decomposition.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Optimal Sensor Placement for Signal Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2019

"When does it work ?" : An exploratory analysis of Transfer Learning for BCI.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

The Riemannian Minimum Distance to means field Classifier.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

LOSoft: ℓ0 Minimization via Soft Thresholding.
Proceedings of the 27th European Signal Processing Conference, 2019

A New Algorithm for Dictionary Learning Based on Convex Approximation.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Sparse Signal Recovery Using Iterative Proximal Projection.
IEEE Trans. Signal Process., 2018

Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2018

A Linear-Quadratic Model for the Quantification of a Mixture of Two Diluted Gases with a Single Metal Oxide Sensor.
Sensors, 2018

ECG Fiducial Point Extraction Using Switching Kalman Filter.
Comput. Methods Programs Biomed., 2018

Multivariate Time-Series Analysis Via Manifold Learning.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Unmixing of Absence Epileptic Seizures in GAERS.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Joint Independent Subspace Analysis by Coupled Block Decomposition: Non-Identifiable Cases.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A New Link Between Joint Blind Source Separation Using Second Order Statistics and the Canonical Polyadic Decomposition.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Joint Low Mutual and Average Coherence Dictionary Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

A Bayesian Blind Source Separation Method for a Linear-quadratic Model.
Proceedings of the 26th European Signal Processing Conference, 2018

Supervised Bayesian Source Separation of Nonlinear Mixtures for Quantitative Analysis of Gas Mixtures.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Multimodal Soft Nonnegative Matrix Co-Factorization for Convolutive Source Separation.
IEEE Trans. Signal Process., 2017

Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm.
IEEE Trans. Signal Process., 2017

Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing.
IEEE Signal Process. Lett., 2017

Information-Estimation Relationship in Mismatched Gaussian Channels.
IEEE Signal Process. Lett., 2017

Blind compensation of polynomial mixtures of Gaussian signals with application in nonlinear blind source separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A New Algorithm for Multimodal Soft Coupling.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Audiovisual Speech Separation Based on Independent Vector Analysis Using a Visual Voice Activity Detector.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Multimodal Approach to Remove Ocular Artifacts from EEG Signals Using Multiple Measurement Vectors.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Accelerated Dictionary Learning for Sparse Signal Representation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A Joint Second-Order Statistics and Density Matching-Based Approach for Separation of Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Gaussian Processes for Source Separation in Overdetermined Bilinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Optimal Measurement Times for Observing a Brownian Motion over a Finite Period Using a Kalman Filter.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Single sensor audiovisual speech source separation.
Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

Riemannian Online Algorithms for Estimating Mixture Model Parameters.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Dimensionality Reduction for BCI Classification using Riemannian Geometry.
Proceedings of the From Vision to Reality, 2017

A robust ellipse fitting algorithm based on sparsity of outliers.
Proceedings of the 25th European Signal Processing Conference, 2017

A new algorithm for training sparse autoencoders.
Proceedings of the 25th European Signal Processing Conference, 2017

A generalization of weighted sparse decomposition to negative weights.
Proceedings of the 25th European Signal Processing Conference, 2017

Characterizing absence epileptic seizures from depth cortical measurements.
Proceedings of the 25th European Signal Processing Conference, 2017

A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Joint Independent Subspace Analysis Using Second-Order Statistics.
IEEE Trans. Signal Process., 2016

Correction to "Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images".
IEEE Trans. Image Process., 2016

Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images.
IEEE Trans. Image Process., 2016

Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability.
IEEE Trans. Image Process., 2016

Hyperspectral Local Intrinsic Dimensionality.
IEEE Trans. Geosci. Remote. Sens., 2016

ECG segmentation and fiducial point extraction using multi hidden Markov model.
Comput. Biol. Medicine, 2016

Blind source separation and feature extraction in concurrent control charts pattern recognition: Novel analyses and a comparison of different methods.
Comput. Ind. Eng., 2016

Variability of the endmembers in spectral unmixing: Recent advances.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Parameters estimate of Riemannian Gaussian distribution in the manifold of covariance matrices.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Joint analysis of multiple datasets by cross-cumulant tensor (block) diagonalization.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Hyperspectral unmixing with material variability using social sparsity.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An alternative proof for the identifiability of independent vector analysis using second order statistics.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Multimodal Kalman filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Two multimodal approaches for single microphone source separation.
Proceedings of the 24th European Signal Processing Conference, 2016

Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition.
Proceedings of the 24th European Signal Processing Conference, 2016

Mining the bilinear structure of data with approximate joint diagonalization.
Proceedings of the 24th European Signal Processing Conference, 2016

Nonlinear blind source separation for sparse sources.
Proceedings of the 24th European Signal Processing Conference, 2016

Impact of noise correlation on multimodality.
Proceedings of the 24th European Signal Processing Conference, 2016

Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation.
Proceedings of the 24th European Signal Processing Conference, 2016

Recovery guarantees for mixed norm ℓp1, p2 block sparse representations.
Proceedings of the 24th European Signal Processing Conference, 2016

Unsupervised Cross-Subject BCI Learning and Classification using Riemannian Geometry.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A Simple Algorithm for Topographic ICA.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects.
Proc. IEEE, 2015

Multimodal Data Fusion [Scanning the Issue].
Proc. IEEE, 2015

Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Image interpolation using Gaussian Mixture Models with spatially constrained patch clustering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Real-time independent vector analysis with Student's t source prior for convolutive speech mixtures.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

On the Suppression of Noise from a Fast Moving Acoustic Source Using Multimodality.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Joint Independent Subspace Analysis: A Quasi-Newton Algorithm.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Joint Decompositions with Flexible Couplings.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A MAP-Based Order Estimation Procedure for Sparse Channel Estimation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Theoretical Studies and Algorithms Regarding the Solution of Non-invertible Nonlinear Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Chromatographic signal processing for PAH in methanol solution.
Proceedings of the 23rd European Signal Processing Conference, 2015

A blind source separation method for chemical sensor arrays based on a second order mixing model.
Proceedings of the 23rd European Signal Processing Conference, 2015

Multimodal approach to estimate the ocular movements during EEG recordings: A coupled tensor factorization method.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Single-trial classification of multi-user P300-based Brain-Computer Interface using riemannian geometry.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

From molecular model to sparse representation of chromatographic signals with an unknown number of peaks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Learning Overcomplete Dictionaries Based on Atom-by-Atom Updating.
IEEE Trans. Signal Process., 2014

Non-Negative Blind Source Separation Algorithm Based on Minimum Aperture Simplicial Cone.
IEEE Trans. Signal Process., 2014

Recovery of Low-Rank Matrices Under Affine Constraints via a Smoothed Rank Function.
IEEE Trans. Signal Process., 2014

Source Separation in Chemical Analysis : Recent achievements and perspectives.
IEEE Signal Process. Mag., 2014

Blind source separation of underdetermined mixtures of event-related sources.
Signal Process., 2014

Corrigendum to "ISI sparse channel estimation based on SL0 and its application in ML sequence-by-sequence equalization" [Signal Processing 92 (2012) 1875-1885].
Signal Process., 2014

Outlier-aware dictionary learning for sparse representation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Principal angles approach to time-domain filter design for target cancelation.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Beyond 2D for Brain-Computer interfaces: Two 3D extensions of the P300-Speller.
Proceedings of the IEEE International Conference on Acoustics, 2014

A frequency method for blind separation of an anechoic mixture.
Proceedings of the 22nd European Signal Processing Conference, 2014

Joint blind source separation of multidimensional components: Model and algorithm.
Proceedings of the 22nd European Signal Processing Conference, 2014

Challenges in multimodal data fusion.
Proceedings of the 22nd European Signal Processing Conference, 2014

A study on clustering-based image denoising: From global clustering to local grouping.
Proceedings of the 22nd European Signal Processing Conference, 2014

K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries.
Proceedings of the 22nd European Signal Processing Conference, 2014

Sparse blind deconvolution based on scale invariant smoothed ℓ0-norm.
Proceedings of the 22nd European Signal Processing Conference, 2014

Dynamical analysis of brain seizure activity from EEG signals.
Proceedings of the 22nd European Signal Processing Conference, 2014

Twave alternans detection in ecg using Extended Kalman Filter and dualrate EKF.
Proceedings of the 22nd European Signal Processing Conference, 2014

Modeling quasi-periodic signals by a non-parametric model: Application on fetal ECG extraction.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Reference-Based Source Separation Method For Identification of Brain Regions Involved in a Reference State From Intracerebral EEG.
IEEE Trans. Biomed. Eng., 2013

Fetal ECG Extraction by Extended State Kalman Filtering Based on Single-Channel Recordings.
IEEE Trans. Biomed. Eng., 2013

Dictionary Learning for Sparse Representation: A Novel Approach.
IEEE Signal Process. Lett., 2013

Unsupervised methods for the classification of hyperspectral images with low spatial resolution.
Pattern Recognit., 2013

Classification of covariance matrices using a Riemannian-based kernel for BCI applications.
Neurocomputing, 2013

Sparse Channel Estimation by Factor Graphs.
CoRR, 2013

ECG fiducial points extraction by extended Kalman filtering.
Proceedings of the 36th International Conference on Telecommunications and Signal Processing, 2013

Learning overcomplete dictionaries based on parallel atom-updating.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Video-informed approach for enhancing audio source separation through noise source suppression.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Dictionary learning for sparse decomposition: A new criterion and algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

An overview of signal processing issues in chemical sensing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Fiducial points extraction and characteristicwaves detection in ECG signal using a model-based bayesian framework.
Proceedings of the IEEE International Conference on Acoustics, 2013

Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces.
Proceedings of the 21st European Signal Processing Conference, 2013

A new algorithm for learning overcomplete dictionaries.
Proceedings of the 21st European Signal Processing Conference, 2013

Robust 3-way tensor decomposition and extended state Kalman filtering to extract fetal ECG.
Proceedings of the 21st European Signal Processing Conference, 2013

Auxiliary function based iva using a source prior exploiting fourth order relationships.
Proceedings of the 21st European Signal Processing Conference, 2013

Fetal QRS Complex Detection Based on Three-Way Tensor Decomposition.
Proceedings of the Computing in Cardiology, 2013

Fetal Electrocardiogram R-peak Detection using Robust Tensor Decomposition and Extended Kalman Filtering.
Proceedings of the Computing in Cardiology, 2013

Source Separation for Biomedical Signals: Blind or not Blind?.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

2012
On the Achievability of Cramér-Rao Bound in Noisy Compressed Sensing.
IEEE Trans. Signal Process., 2012

Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear Mixtures.
IEEE Trans. Signal Process., 2012

Multiclass Brain-Computer Interface Classification by Riemannian Geometry.
IEEE Trans. Biomed. Eng., 2012

ISI sparse channel estimation based on SL0 and its application in ML sequence-by-sequence equalization.
Signal Process., 2012

Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction.
EURASIP J. Adv. Signal Process., 2012

Designing spatial filters based on neuroscience theories to improve error-related potential classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Closed-looping a P300 BCI using the ErrP.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Time Window Selection for Improving Error-related Potential Detection.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

Simplicial Cone Shrinking Algorithm for Unmixing Nonnegative Sources.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Nonparametric Modelling of ECG: Applications to Denoising and to Single Sensor Fetal ECG Extraction.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Geometrical Method Using Simplicial Cones for Overdetermined Nonnegative Blind Source Separation: Application to Real PET Images.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

A projected gradient-based algorithm to unmix hyperspectral data.
Proceedings of the 20th European Signal Processing Conference, 2012

How to use real-valued sparse recovery algorithms for complex-valued sparse recovery?
Proceedings of the 20th European Signal Processing Conference, 2012

Fetal ECG extraction from a single sensor by a non-parametric modeling.
Proceedings of the 20th European Signal Processing Conference, 2012

Blind compensation of nonlinear distortions via sparsity recovery.
Proceedings of the 20th European Signal Processing Conference, 2012

The error-related potential and BCIs.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Application of Dynamic Time Warping on Kalman Filtering Framework for Abnormal ECG Filtering.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

BCI Signal Classification using a Riemannian-based kernel.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

ECG denoising using angular velocity as a state and an observation in an Extended Kalman Filter framework.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Bayesian Source Separation of Linear and Linear-quadratic Mixtures Using Truncated Priors.
J. Signal Process. Syst., 2011

Special Issue on Machine Learning for Signal Processing.
J. Signal Process. Syst., 2011

Corrections to "On the Stable Recovery of the Sparsest Overcomplete Representations in Presence of Noise" [Oct 10 5396-5400].
IEEE Trans. Signal Process., 2011

On the Error of Estimating the Sparsest Solution of Underdetermined Linear Systems.
IEEE Trans. Inf. Theory, 2011

Hyperspectral Image Classification With Independent Component Discriminant Analysis.
IEEE Trans. Geosci. Remote. Sens., 2011

Directed Differential Connectivity Graph of Interictal Epileptiform Discharges.
IEEE Trans. Biomed. Eng., 2011

Spectral Unmixing for the Classification of Hyperspectral Images at a Finer Spatial Resolution.
IEEE J. Sel. Top. Signal Process., 2011

Linear-quadratic blind source separating structure for removing show-through in scanned documents.
Int. J. Document Anal. Recognit., 2011

Unsupervised classification and spectral unmixing for sub-pixel labelling.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Regularized Gradient algorithm for Non-Negative Independent Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2011

SRF: Matrix completion based on smoothed rank function.
Proceedings of the IEEE International Conference on Acoustics, 2011

When silence is gold.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
A deflation procedure for subspace decomposition.
IEEE Trans. Signal Process., 2010

On the stable recovery of the sparsest overcomplete representations in presence of noise.
IEEE Trans. Signal Process., 2010

OP-ELM: optimally pruned extreme learning machine.
IEEE Trans. Neural Networks, 2010

Sélection de capteurs pour interfaces cerveau-ordinateur de type P300.
Traitement du Signal, 2010

Nonstationary Brain Source Separation for Multiclass Motor Imagery.
IEEE Trans. Biomed. Eng., 2010

Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm.
IEEE Signal Process. Lett., 2010

Bayesian Hypothesis Testing for Sparse Representation
CoRR, 2010

Bayesian Cramér-Rao Bound for Noisy Non-Blind and Blind Compressed Sensing
CoRR, 2010

Sparse Recovery using Smoothed ℓ<sup>0</sup> (SL0): Convergence Analysis
CoRR, 2010

Independent Component Discriminant Analysis for hyperspectral image classification.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Common Spatial Pattern revisited by Riemannian geometry.
Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

Super-resolution: an efficient method to improve spatial resolution of hyperspectral images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Parametric dictionary learning using steepest descent.
Proceedings of the IEEE International Conference on Acoustics, 2010

An entropy based method for activation detection of functional MRI data using Independent Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

Blind Extraction of Intermittent Sources.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Adaptive and Non-adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML Sequence-by-Sequence Equalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

An Alternating Minimization Method for Sparse Channel Estimation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Using Non-Negative Matrix Factorization for Removing Show-Through.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Fast Block-Sparse Decomposition Based on SL0.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Riemannian Geometry Applied to BCI Classification.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Suboptimal sensor subset evaluation in a P300 brain-computer interface.
Proceedings of the 18th European Signal Processing Conference, 2010

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
An iterative Bayesian algorithm for sparse component analysis in presence of noise.
IEEE Trans. Signal Process., 2009

A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed ell <sup>0</sup> Norm.
IEEE Trans. Signal Process., 2009

Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period.
IEEE Trans. Biomed. Eng., 2009

Reliable Steganalysis Using a Minimum Set of Samples and Features.
EURASIP J. Inf. Secur., 2009

On the Use of ICA for Hyperspectral Image Analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Image Denoising Using Sparse Representations.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Image Coding and Compression with Sparse 3D Discrete Cosine Transform.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Ion-Selective Electrode Array Based on a Bayesian Nonlinear Source Separation Method.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Bayesian Pursuit algorithm for sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Inflating compressed samples: A joint source-channel coding approach for noise-resistant compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse decomposition of two dimensional signals.
Proceedings of the IEEE International Conference on Acoustics, 2009

Robust-SL0 for stable sparse representation in noisy settings.
Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse Decomposition over non-full-rank dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2009

Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Sparse differential connectivity graph of scalp EEG for epileptic patients.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis.
IEEE Trans. Biomed. Eng., 2008

Nonlinear Blind Parameter Estimation.
IEEE Trans. Autom. Control., 2008

On the Cramér-Rao Bound for Estimating the Mixing Matrix in Noisy Sparse Component Analysis.
IEEE Signal Process. Lett., 2008

Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering.
Neurocomputing, 2008

On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation.
Neurocomputing, 2008

A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
CoRR, 2008

Approximate Sparse Decomposition Based on Smoothed L0-Norm
CoRR, 2008

A fast approach for overcomplete sparse decomposition based on smoothed L0 norm
CoRR, 2008

Improvement to a NAM captured whisper-to-speech system.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2008

Complex-valued sparse representation based on smoothed <i>l</i><sup>0</sup> norm.
Proceedings of the IEEE International Conference on Acoustics, 2008

A first step to convolutive sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Estimating the mixing matrix in Sparse Component Analysis (SCA) using EM algorithm and iterative Bayesian clustering.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A nonlinear blind source separation solution for removing the show-through effect in the scanned documents.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA).
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Model-based source separation for multi-class motor imagery.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A nonlinear source separation approach for the Nicolsky-Eisenman model.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

MR artifact reduction in the simultaneous acquisition of EEG and FMRI of epileptic patients.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
A Nonlinear Bayesian Filtering Framework for ECG Denoising.
IEEE Trans. Biomed. Eng., 2007

Log-Rayleigh Distribution: A Simple and Efficient Statistical Representation of Log-Spectral Coefficients.
IEEE Trans. Speech Audio Process., 2007

Mixing Audiovisual Speech Processing and Blind Source Separation for the Extraction of Speech Signals From Convolutive Mixtures.
IEEE Trans. Speech Audio Process., 2007

Visual voice activity detection as a help for speech source separation from convolutive mixtures.
Speech Commun., 2007

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals.
EURASIP J. Adv. Signal Process., 2007

Advantages of Using Feature Selection Techniques on Steganalysis Schemes.
Proceedings of the Computational and Ambient Intelligence, 2007


Source Estimation in Noisy Sparse Component Analysis.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Using a Visual Voice Activity Detector to Regularize the Permutations in Blind Separation of Convolutive Speech Mixtures.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

How to Apply ICA on Actual Data ? Example of Mars Hyperspectral Image Analysis.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Fast Sparse Representation Based on Smoothed <i>l</i><sup>0</sup> Norm.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Blind Source Separation of a Class of Nonlinear Mixtures.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Two novel visual voice activity detectors based on appearance models and retinal filtering.
Proceedings of the 15th European Signal Processing Conference, 2007

Audiovisual speech source separation: a regularization method based on visual voice activity detection.
Proceedings of the Auditory-Visual Speech Processing 2007, 2007

Development and comparison of two approaches for visual speech analysis with application to voice activity detection.
Proceedings of the Auditory-Visual Speech Processing 2007, 2007

2006
Frequency-domain blind deconvolution based on mutual information rate.
IEEE Trans. Signal Process., 2006

Quasi-optimal EASI algorithm based on the Score Function Difference (SFD).
Neurocomputing, 2006

Sparse ICA via cluster-wise PCA.
Neurocomputing, 2006

An Analysis of Visual Speech Information Applied to Voice Activity Detection.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS).
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Markovian Blind Image Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A new approach for sparse decomposition and sparse source separation.
Proceedings of the 14th European Signal Processing Conference, 2006

Semi-Blind Approaches for Source Separation and Independent component Analysis.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Identifiability of post-nonlinear mixtures.
IEEE Signal Process. Lett., 2005

Fast approximation of nonlinearities for improving inversion algorithms of PNL mixtures and Wiener systems.
Signal Process., 2005

A general approach for mutual information minimization and its application to blind source separation.
Signal Process., 2005

Criteria based on mutual information minimization for blind source separation in post nonlinear mixtures.
Signal Process., 2005

SWM: a class of convex contrasts for source separation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Solving the indeterminations of blind source separation of convolutive speech mixtures.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A new method for estimating score function difference (SFD) and its application to Blind Source Separation.
Proceedings of the 13th European Signal Processing Conference, 2005

ICA by mutual information minimization: An approach for avoiding local minima.
Proceedings of the 13th European Signal Processing Conference, 2005

Mutual information and quadratic dependence for post nonlinear Blind Source Separation.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Differential of the mutual information.
IEEE Signal Process. Lett., 2004

Developing an audio-visual speech source separation algorithm.
Speech Commun., 2004

Three easy ways for separating nonlinear mixtures?
Signal Process., 2004

General conditions of stability in blind source separation models and score function selection.
Neurocomputing, 2004

Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures.
Int. J. Neural Syst., 2004

Using audiovisual speech processing to improve the robustness of the separation of convolutive speech mixtures.
Proceedings of the IEEE 6th Workshop on Multimedia Signal Processing, 2004

A minimization-projection (MP) approach for blind separating convolutive mixtures.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Sensor Array and Electrode Selection for Non-invasive Fetal Electrocardiogram Extraction by Independent Component Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Fisher Information in Source Separation Problems.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Blind Source Separation by Adaptive Estimation of Score Function Difference.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Wavelet De-noising for Blind Source Separation in Noisy Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Non-linear ICA by Using Isometric Dimensionality Reduction.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Markovian Source Separation in Post-nonlinear Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Analytical Solution of the Blind Source Separation Problem Using Derivatives.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

A Geometric Approach for Separating Several Speech Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Markovian source separation.
IEEE Trans. Signal Process., 2003

On the separability of nonlinear mixtures of temporally correlated sources.
IEEE Signal Process. Lett., 2003

Improving independent component analysis performances by variable selection.
Proceedings of the NNSP 2003, 2003

Neural Network Modeling of Ambulatory Systolic Blood Pressure for Hypertension Diagnosis.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Initialisation of Nonlinearities for PNL and Wiener Systems Inversion.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Speech extraction based on ICA and audio-visual coherence.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Extracting an AV speech source from a mixture of signals.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Acceptability conditions for BSS problems.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

Further experiments on audio-visual speech source separation.
Proceedings of the AVSP 2003, 2003

2002
Maximum likelihood neural approximation in presence of additive colored noise.
IEEE Trans. Neural Networks, 2002

Parametric approach to blind deconvolution of nonlinear channels.
Neurocomputing, 2002

Separation of Audio-Visual Speech Sources: A New Approach Exploiting the Audio-Visual Coherence of Speech Stimuli.
EURASIP J. Adv. Signal Process., 2002

Wavelet denoising for highly noisy source separation.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Audio-visual speech sources separation: a new approach exploiting the audio-visual coherence of speech stimuli.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing.
Proceedings of the IEEE International Conference on Acoustics, 2002

A geometric approach for separating post non-linear mixtures.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Quasi-nonparametric blind inversion of Wiener systems.
IEEE Trans. Signal Process., 2001

Separation of a class of convolutive mixtures: a contrast function approach.
Signal Process., 2001

Separating Convolutive Mixtures by Mutual Information Minimization.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

2000
Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture.
IEEE Trans. Signal Process., 2000

Subspace estimation by hierarchical neural PCA: analog/digital implementation constraints.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Source separation techniques applied to speech linear prediction.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Spatio-temporal correlated noise in multi-output neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2000

Underwater acoustic signal separation based on prior estimation of the channel impulse response.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Source separation in post-nonlinear mixtures.
IEEE Trans. Signal Process., 1999

What should we say about the kurtosis?
IEEE Signal Process. Lett., 1999

Blind Inversion of Wiener Systems.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Weight Freezing in Constructive Neural Networks: A Novel Approach.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Colored noise in dynamic systems: unbiased modeling by constructive neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

On underdetermined source separation.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Separation of a class of convolutive mixtures: a contrast function approach.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Source separation in post nonlinear mixtures: an entropy-based algorithm.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Improving neural network estimation in presence of non i.i.d. noise.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1997
Stability study for source separation in convolutive mixtures of two sources.
Signal Process., 1997

Entropy Optimization - Application to Blind Source Separation.
Proceedings of the Artificial Neural Networks, 1997

Neural Network Based Processing for Smart Sensors Arrays.
Proceedings of the Artificial Neural Networks, 1997

Nonlinear source separation: the post-nonlinear mixtures.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

From source separation to ICA: an introduction to the special session.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997

1996
A direct solution for blind separation of sources.
IEEE Trans. Signal Process., 1996

Subspace method for blind separation of sources in convolutive mixture.
Proceedings of the 8th European Signal Processing Conference, 1996

Combining sigmoids and radial basis functions in evolutive neural architectures.
Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996

1995
Fourth-order criteria for blind sources separation.
IEEE Trans. Signal Process., 1995

Blind source separation for convolutive mixtures.
Signal Process., 1995

Separation of sources: A geometry-based procedure for reconstruction of n-valued signals.
Signal Process., 1995

A new scheme for incremental learning.
Neural Process. Lett., 1995

Learning in Evolutive Neural Architectures: An Ill-Posed Problem?
Proceedings of the From Natural to Artificial Neural Computation, 1995

Incremental Learning with a Stopping Criterion - Experimental Results.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Invited paper: Pruning methods: a review.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

Pruning kernel density estimators.
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1994
A comparison of two weight pruning methods.
Proceedings of the 2nd European Symposium on Artificial Neural Networks, 1994

1993
Neural Bayesian Classifier.
Proceedings of the New Trends in Neural Computation, 1993

1991
Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture.
Signal Process., 1991

Blind separation of sources, part II: Problems statement.
Signal Process., 1991

Adaptive Optimization of Neural Algorithms.
Proceedings of the Artificial Neural Networks, 1991

1990
Simulation Machine and Integrated Implementation of Neural Networks: a Review of Methods, Problems and Realizations.
Proceedings of the Neural Networks, 1990

1989
Analog VLSI synaptic matrices as building blocks for neural networks.
IEEE Micro, 1989

Analog implementation of a permanent unsupervised learning algorithm.
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989


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