Cédric Richard

Orcid: 0000-0003-2890-141X

According to our database1, Cédric Richard authored at least 241 papers between 1997 and 2024.

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Bibliography

2024
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing.
IEEE Trans. Intell. Transp. Syst., February, 2024

Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

Non-parametric Online Change Point Detection on Riemannian Manifolds.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.
IEEE Trans. Veh. Technol., June, 2023

Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data.
IEEE Trans. Intell. Transp. Syst., March, 2023

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.
IEEE Signal Process. Mag., March, 2023

Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE Trans. Geosci. Remote. Sens., 2023

Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors.
IEEE Trans. Geosci. Remote. Sens., 2023

Online change-point detection with kernels.
Pattern Recognit., 2023

Distributed pressure matching strategy using diffusion adaptation.
CoRR, 2023

Adaptive Random Fourier Features Kernel LMS.
Proceedings of the IEEE International Conference on Signal Processing, 2023

Change Point Detection with Neural Online Density-Ratio Estimator.
Proceedings of the IEEE International Conference on Acoustics, 2023

Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates.
Proceedings of the 31st European Signal Processing Conference, 2023

Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Distributed Learning with Convex SUM-of -Non-Convex Objective.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Anomaly Detection in Graph Signals with Canonical Correlation Analysis.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Transient Performance Analysis of the $\ell _1$-RLS.
IEEE Signal Process. Lett., 2022

Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image.
SIAM J. Imaging Sci., 2022

Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2022

Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion.
Proceedings of the IEEE International Conference on Acoustics, 2022

Transient Analysis of Clustered Multitask Diffusion RLS Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis.
Proceedings of the 30th European Signal Processing Conference, 2022

Deep Image Fusion Accounting for Inter-Image Variability.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data.
IEEE Trans. Computational Imaging, 2021

Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs.
IEEE Signal Process. Lett., 2021

In Vitro and In Vivo Multispectral Photoacoustic Imaging for the Evaluation of Chromophore Concentration.
Sensors, 2021

Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
IEEE Geosci. Remote. Sens. Lett., 2021

Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process., 2021

Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2021

Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Coupled Tensor Models Accounting for Inter-image Variability.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Affine Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Process., 2020

Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization.
IEEE Trans. Signal Process., 2020

Convex Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Online Distributed Learning Over Graphs With Multitask Graph-Filter Models.
IEEE Trans. Signal Inf. Process. over Networks, 2020

A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing.
IEEE Trans. Image Process., 2020

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.
IEEE Signal Process. Mag., 2020

Diffusion LMS With Communication Delays: Stability and Performance Analysis.
IEEE Signal Process. Lett., 2020

Multitask learning over graphs.
CoRR, 2020

Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Graph Topology Inference with Kernels For Brain Connectivity Estimation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Non-parametric Community Change-points Detection in Streaming Graph Signals.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity.
Proceedings of the 28th European Signal Processing Conference, 2020

Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.
Proceedings of the 28th European Signal Processing Conference, 2020

Online Graph-Based Change Point Detection in Multiband Image Sequences.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
On Reducing the Communication Cost of the Diffusion LMS Algorithm.
IEEE Trans. Signal Inf. Process. over Networks, 2019

A Regularization Framework for Learning Over Multitask Graphs.
IEEE Signal Process. Lett., 2019

Learning Combination of Graph Filters for Graph Signal Modeling.
IEEE Signal Process. Lett., 2019

Online Deconvolution for Industrial Hyperspectral Imaging Systems.
SIAM J. Imaging Sci., 2019

A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2019

Joint unmixing-deconvolution algorithms for hyperspectral images.
Proceedings of the 27th European Signal Processing Conference, 2019

Learning Causal Networks Topology From Streaming Graph Signals.
Proceedings of the 27th European Signal Processing Conference, 2019

Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019

Kernel Based Online Change Point Detection.
Proceedings of the 27th European Signal Processing Conference, 2019

Distributed Change Detection in Streaming Graph Signals.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Decentralized Online Learning With Kernels.
IEEE Trans. Signal Process., 2018

Model-driven online parameter adjustment for zero-attracting LMS.
Signal Process., 2018

Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Distributed Diffusion Adaptation Over Graph Signals.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing.
Proceedings of the 26th European Signal Processing Conference, 2018

Decentralized Online Nonparametric Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Decentralized clustering for node-variant graph filtering with graph diffusion LMS.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints.
IEEE Trans. Signal Process., 2017

Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem.
IEEE Trans. Image Process., 2017

Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions.
IEEE Trans. Image Process., 2017

Multitask Diffusion Adaptation Over Networks With Common Latent Representations.
IEEE J. Sel. Top. Signal Process., 2017

Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
CoRR, 2017

Adaptation and learning over networks for nonlinear system modeling.
CoRR, 2017

Decentralized efficient nonparametric stochastic optimization.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A design methodology for the Gaussian KLMS algorithm.
Proceedings of the 25th European Signal Processing Conference, 2017

Distributed approach for deblurring large images with shift-variant blur.
Proceedings of the 25th European Signal Processing Conference, 2017

Online deconvolution for pushbroom hyperspectral imaging systems.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

An adaptive distributed asynchronous algorithm with application to target localization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Penalty-Based multitask estimation with non-local linear equality constraints.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A graph diffusion LMS strategy for adaptive graph signal processing.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Penalty-based multitask distributed adaptation over networks with constraints.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization.
IEEE Trans. Signal Process., 2016

Multitask Diffusion Adaptation Over Asynchronous Networks.
IEEE Trans. Signal Process., 2016

Guest Editorial Inference and Learning over Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
IEEE Trans. Image Process., 2016

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach.
IEEE Trans. Geosci. Remote. Sens., 2016

Transient Performance Analysis of Zero-Attracting LMS.
IEEE Signal Process. Lett., 2016

Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning.
Signal Process., 2016

Reweighted nonnegative least-mean-square algorithm.
Signal Process., 2016

Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem.
CoRR, 2016

Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Diffusion LMS over multitask networks with noisy links.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Group diffusion LMS.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Unsupervised neighbor dependent nonlinear unmixing.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Toward privacy-preserving diffusion strategies for adaptation and learning over networks.
Proceedings of the 24th European Signal Processing Conference, 2016

Distributed learning over multitask networks with linearly related tasks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Doubly compressed diffusion LMS over adaptive networks.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Diffusion LMS Over Multitask Networks.
IEEE Trans. Signal Process., 2015

On-body TOA-based ranging error model for motion capture applications within wearable UWB networks.
J. Ambient Intell. Humaniz. Comput., 2015

Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach.
CoRR, 2015

Hyperspectral data unmixing with graph-based regularization.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multitask diffusion LMS with sparsity-based regularization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A graph Laplacian regularization for hyperspectral data unmixing.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Band selection in RKHS for fast nonlinear unmixing of hyperspectral images.
Proceedings of the 23rd European Signal Processing Conference, 2015

Adaptive clustering for multitask diffusion networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Diffusion adaptation over networks with kernel least-mean-square.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Online Dictionary Learning for Kernel LMS.
IEEE Trans. Signal Process., 2014

Multitask Diffusion Adaptation Over Networks.
IEEE Trans. Signal Process., 2014

Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis.
IEEE Trans. Signal Process., 2014

Blind and Fully Constrained Unmixing of Hyperspectral Images.
IEEE Trans. Image Process., 2014

Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ<sub>1</sub>-Norm Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens., 2014

Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms.
IEEE Signal Process. Mag., 2014

Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants.
IEEE Signal Process. Lett., 2014

Decentralized Positioning Algorithm for Relative Nodes Localization in Wireless Body Area Networks.
Mob. Networks Appl., 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

GLUP: Yet another algorithm for blind unmixing of hyperspectral data.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Convex combinations of kernel adaptive filters.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Diffusion LMS for multitask problems with overlapping hypothesis subspaces.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Distributed image reconstruction for very large arrays in radio astronomy.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging.
Proceedings of the IEEE International Conference on Acoustics, 2014

Diffusion LMS for clustered multitask networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Convergence analysis of kernel LMS algorithm with pre-tuned dictionary.
Proceedings of the IEEE International Conference on Acoustics, 2014

Performance analysis of multitask diffusion adaptation over asynchronous networks.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model.
IEEE Trans. Signal Process., 2013

Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires.
Traitement du Signal, 2013

Multiclass classification machines with the complexity of a single binary classifier.
Signal Process., 2013

Non-negativity constraints on the pre-image for pattern recognition with kernel machines.
Pattern Recognit., 2013

Distributed dictionary learning over a sensor network
CoRR, 2013

Joint motion capture and navigation in heterogeneous Body Area Networks with distance estimation over neighborhood graph.
Proceedings of the 10th Workshop on Positioning, Navigation and Communication, 2013

Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Kernel LMS algorithm with forward-backward splitting for dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2013

Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
Proceedings of the IEEE International Conference on Acoustics, 2013

Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data.
Proceedings of the 21st European Signal Processing Conference, 2013

Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
Proceedings of the 21st European Signal Processing Conference, 2013

Performance analysis of diffusion LMS in multitask networks.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Learning a common dictionary over a sensor network.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Prediction-based cluster management for target tracking in wireless sensor networks.
Wirel. Commun. Mob. Comput., 2012

Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks.
IEEE Trans. Veh. Technol., 2012

Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2012

Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization.
IEEE Trans. Mob. Comput., 2012

Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach.
IEEE Trans. Geosci. Remote. Sens., 2012

Robust Interval-Based Localization Algorithms for Mobile Sensor Networks.
Int. J. Distributed Sens. Networks, 2012

Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Dictionary adaptation for online prediction of time series data with kernels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

One-class machines based on the coherence criterion.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Kernels for time series of exponential decay/growth processes.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Kernelizing Geweke's measures of granger causality.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Hyperspectral image unmixing using manifold learning methods derivations and comparative tests.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Prediction of rain attenuation series based on discretized spectral model.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Modeling electrocardiogram using Yule-Walker equations and kernel machines.
Proceedings of the 19th International Conference on Telecommunications, 2012

Prediction of time series using Yule-Walker equations with kernels.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A Gaussian process regression approach for testing Granger causality between time series data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Online one-class machines based on the coherence criterion.
Proceedings of the 20th European Signal Processing Conference, 2012

Nodes updates censoring and scheduling in constrained decentralized positioning for large-scale motion capture based on wireless body area networks.
Proceedings of the 7th International Conference on Body Area Networks, 2012

Empirical modeling of intra-BAN ranging errors based on IR-UWB TOA estimation.
Proceedings of the 7th International Conference on Body Area Networks, 2012

Adaptive inverse control using kernel identification.
Proceedings of the American Control Conference, 2012

Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Session WA3a: Adaptive signal processing.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Adaptive quantized target tracking in wireless sensor networks.
Wirel. Networks, 2011

A Closed-form Solution for the Pre-image Problem in Kernel-based Machines.
J. Signal Process. Syst., 2011

A Robust Localization Algorithm for Mobile Sensors Using Belief Functions.
IEEE Trans. Veh. Technol., 2011

Nonnegative Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2011

Stationnarité relative et approches connexes.
Traitement du Signal, 2011

Interval-Based Localization using RSSI Comparison in MANETs.
IEEE Trans. Aerosp. Electron. Syst., 2011

Preimage Problem in Kernel-Based Machine Learning.
IEEE Signal Process. Mag., 2011

Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold.
Pattern Recognit. Lett., 2011

Collaborative multi-target tracking in wireless sensor networks.
Int. J. Syst. Sci., 2011

Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors.
IET Wirel. Sens. Syst., 2011

Interval-based localization for mobile sensors in low-anchors density networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Optimal path selection for quantized target tracking in distributed sensor networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Quantized variational filtering for target tracking and relay localization in sensor networks.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Regularized split gradient method for nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Transitional surrogates.
Proceedings of the IEEE International Conference on Acoustics, 2011

Steady-state behavior and design of the Gaussian KLMS algorithm.
Proceedings of the 19th European Signal Processing Conference, 2011

Non-negative pre-image in machine learning for pattern recognition.
Proceedings of the 19th European Signal Processing Conference, 2011

Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

Nonnegative matrix factorization with regularization and sparsity-enforcing terms.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

A modified non-negative LMS algorithm and its stochastic behavior analysis.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Testing stationarity with surrogates: a time-frequency approach.
IEEE Trans. Signal Process., 2010

Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks.
IEEE Trans. Mob. Comput., 2010

A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw., 2010

The angular kernel in machine learning for hyperspectral data classification.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering.
Proceedings of the 72nd IEEE Vehicular Technology Conference, 2010

A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
Proceedings of the IEEE International Conference on Acoustics, 2010

Joint Multiple Target Tracking and Channel Estimation in Wireless Sensor Networks.
Proceedings of the Global Communications Conference, 2010

Split gradient method for nonnegative matrix factorization.
Proceedings of the 18th European Signal Processing Conference, 2010

System identification under non-negativity constraints.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Online Prediction of Time Series Data With Kernels.
IEEE Trans. Signal Process., 2009

Anchor-based localization via interval analysis for mobile ad-hoc sensor networks.
IEEE Trans. Signal Process., 2009

Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Data-driven online variational filtering in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Functional estimation in Hilbert space for distributed learning in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Matched Subspace Detection With Hypothesis Dependent Noise Power.
IEEE Trans. Signal Process., 2008

Optimizing kernel alignment by data translation in feature space.
Proceedings of the IEEE International Conference on Acoustics, 2008

Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model.
Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November, 2008

Variational Filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Time-Frequency Learning Machines.
IEEE Trans. Signal Process., 2007

Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks.
Int. J. Sens. Networks, 2007

Information-theoretic node scheduling in collaborative sensor networks.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

On-line Nonlinear Sparse Approximation of Functions.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Optimal Feature Representation for Kernel Machines using Kernel-Target Alignment Criterion.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG.
IEEE Trans. Signal Process., 2006

Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

A greedy algorithm for optimizing the kernel alignment and the performance of kernel machines.
Proceedings of the 14th European Signal Processing Conference, 2006

Incorporating prior information into Support Vector Machines in the form of ellipsoidal knowledge sets.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Adaptive diffusion as a versatile tool for time-frequency and time-scale representations processing: a review.
IEEE Trans. Signal Process., 2005

Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer kernel-based representations.
IEEE Signal Process. Lett., 2005

Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
An improved training algorithm for nonlinear kernel discriminants.
IEEE Trans. Signal Process., 2004

Diffusion equations for adaptive affine distributions.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A sequential approach for multi-class discriminant analysis with kernels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Anisotropic diffusion equations for adaptive quadratic representations.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Kernel second-order discriminants versus support vector machines.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions.
IEEE Trans. Signal Process., 2002

Bayes-optimal detectors design using relevant second-order criteria.
IEEE Signal Process. Lett., 2002

Classification en temps-fréquence à partir de données expertisées - Application à la détection des complexes-K.
Proceedings of the Extraction et gestion des connaissances (EGC'2002), 2002

Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors.
Proceedings of the 11th European Signal Processing Conference, 2002

On equivalence between detectors obtained from second-order measures of performance.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Linear redundancy of information carried by the discrete Wigner distribution.
IEEE Trans. Signal Process., 2001

Time-frequency analysis of near-field optical data for extracting local attributes.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Data-driven design and complexity control of time-frequency detectors.
Signal Process., 1999

1998
Structural risk minimization for reduced-bias time-frequency-based detectors design.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method.
Signal Process., 1997


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