Cédric Richard

282 papers A* 2B 9C 5Misc 46Journal 134Unranked 86
YearRankTypeTitle / Venue / Authors
2026 J jnl
Editorial for the 45th anniversary special issue of signal processing.
Signal Process.
Cédric Richard, Geert Leus
2025 — conf
A hypergraph-based Lasso regularization for distributed learning.
IEEECONF
Gustavo Faia Fagundes, Cédric Richard, Roula Nassif
2025 J jnl
Anomaly Detection in Graph Signals With Complex Wavelet Packet Correlation Mining.
IEEE Trans. Circuits Syst. I Regul. Pap.
Xuandi Sun, Roula Nassif, Cédric Richard, Ziye Yang, Jie Chen, Haiyan Wang
2025 J jnl
Conjugate Gradient and Variance Reduction Based Online ADMM for Low-Rank Distributed Networks.
IEEE Signal Process. Lett.
Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang
2025 J jnl
DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing.
CoRR
ChenTong Wang, Jincheng Gao, Fei Zhu, Abderrahim Halimi, Cédric Richard
2025 J jnl
Distributed Online Learning Over Multitask Networks With Rank-One Model.
IEEE Trans. Signal Inf. Process. over Networks
Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen
2025 — conf
Multi-Head Architecture for Open-Set Anomaly Detection of Fast Radio Bursts.
CAMSAP
Benjamin Amblard, Sara El Bouch, Mauro Dalla Mura, André Ferrari, Cédric Richard
2025 J jnl
Noise-Assisted Graph Multivariate Empirical Mode Decomposition With Non-Uniform Projections.
IEEE Trans. Circuits Syst. I Regul. Pap.
Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang
2025 J jnl
Precision Traffic Monitoring: Leveraging Distributed Acoustic Sensing and Deep Neural Networks.
IEEE Trans. Intell. Transp. Syst.
Yacine Khacef, Martijn van den Ende, Cédric Richard, André Ferrari, Anthony Sladen
2025 — conf
Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation.
EUSIPCO
Xiuheng Wang, Ricardo Augusto Borsoi, Arnaud Breloy, Cédric Richard
2025 J jnl
Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation.
CoRR
Xiuheng Wang, Ricardo Augusto Borsoi, Arnaud Breloy, Cédric Richard
2025 A* conf
Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds.
ICML
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Ali H. Sayed
2024 J jnl
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs.
IEEE Trans. Circuits Syst. II Express Briefs
Mengfei Zhang, Yuchen Dong, Jie Chen, Cédric Richard
2024 J jnl
Learning Noise Adapters for Incremental Speech Enhancement.
IEEE Signal Process. Lett.
Ziye Yang, Xiang Song, Jie Chen, Cédric Richard, Israel Cohen
2024 — conf
Leveraging Distributed Acoustic Sensing for Vehicle Counting in High-Traffic-Density Environments.
IEEECONF
Yacine Khacef, Cédric Richard, Charles Casimiro Cavalcante, André Ferrari
2024 A* conf
Non-parametric Online Change Point Detection on Riemannian Manifolds.
ICML
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard
2024 — conf
Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model.
EUSIPCO
Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen
2024 — conf
Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation.
ICSPCC
Ziye Yang, Jie Chen, Cédric Richard, Junjie Li
2024 Misc conf
Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA.
ICASSP
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard
2024 J jnl
Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing.
IEEE Trans. Intell. Transp. Syst.
Siyuan Yuan, Martijn van den Ende, Jingxiao Liu, Hae Young Noh, Robert G. Clapp, Cédric Richard, Biondo Biondi
2024 J jnl
Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm.
IEEE Trans. Circuits Syst. II Express Briefs
Wei Gao, Jie Chen, Cédric Richard
2023 J jnl
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.
IEEE Trans. Neural Networks Learn. Syst.
Martijn van den Ende, Itzhak Lior, Jean-Paul Ampuero, Anthony Sladen, André Ferrari, Cédric Richard
2023 — conf
Adaptive Random Fourier Features Kernel LMS.
ICSPCC
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, QunFei Zhang
2023 — conf
Anomaly Detection in Graph Signals with Canonical Correlation Analysis.
CAMSAP
Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang
2023 Misc conf
Change Point Detection with Neural Online Density-Ratio Estimator.
ICASSP
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
2023 Misc conf
DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs.
ACSSC
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, André Ferrari
2023 J jnl
Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data.
IEEE Trans. Intell. Transp. Syst.
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
2023 J jnl
Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE Trans. Geosci. Remote. Sens.
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
2023 — conf
Distributed Learning with Convex SUM-of -Non-Convex Objective.
CAMSAP
Mengfei Zhang, Jie Chen, Cédric Richard
2023 — conf
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation.
CAMSAP
Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard
2023 J jnl
Distributed pressure matching strategy using diffusion adaptation.
CoRR
Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard
2023 J jnl
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods.
IEEE Signal Process. Mag.
Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja
2023 — conf
Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates.
EUSIPCO
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard
2023 J jnl
Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm.
IEEE Trans. Veh. Technol.
Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard
2023 J jnl
Online change-point detection with kernels.
Pattern Recognit.
André Ferrari, Cédric Richard, Anthony Bourrier, Ikram Bouchikhi
2023 J jnl
Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors.
IEEE Trans. Geosci. Remote. Sens.
Xiuheng Wang, Jie Chen, Cédric Richard
2022 — conf
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis.
EUSIPCO
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
2022 — conf
Deep Image Fusion Accounting for Inter-Image Variability.
IEEECONF
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen
2022 J jnl
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis.
IEEE Trans. Signal Inf. Process. over Networks
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard, José Carlos M. Bermudez
2022 J jnl
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation.
IEEE Trans. Circuits Syst. Video Technol.
Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard
2022 Misc conf
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion.
ICASSP
Xiuheng Wang, Jie Chen, Cédric Richard
2022 J jnl
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion.
CoRR
Xiuheng Wang, Jie Chen, Cédric Richard
2022 J jnl
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.
Clémence Prévost, Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2022 J jnl
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing.
IEEE Geosci. Remote. Sens. Lett.
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos M. Bermudez, Cédric Richard
2022 — conf
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing.
IEEECONF
Yacine Khacef, Martijn van den Ende, André Ferrari, Cédric Richard, Anthony Sladen
2022 Misc conf
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm.
ICASSP
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, QunFei Zhang
2022 — conf
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs.
MLSP
Wei Gao, Yi Xu, Jie Chen, Cédric Richard
2022 J jnl
Transient Performance Analysis of the $\ell _1$-RLS.
IEEE Signal Process. Lett.
Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, QunFei Zhang
2022 J jnl
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors.
CoRR
Xiuheng Wang, Jie Chen, Cédric Richard
2021 Misc conf
Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm.
ICASSP
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard
2021 J jnl
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability.
IEEE J. Sel. Top. Signal Process.
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2021 — conf
Coupled Tensor Models Accounting for Inter-image Variability.
ACSCC
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2021 J jnl
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
IEEE Geosci. Remote. Sens. Lett.
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2021 J jnl
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data.
IEEE Trans. Computational Imaging
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2021 J jnl
In Vitro and In Vivo Multispectral Photoacoustic Imaging for the Evaluation of Chromophore Concentration.
Sensors
Aneline Dolet, Rita Ammanouil, Virginie Petrilli, Cédric Richard, Piero Tortoli, Didier Vray, François Varray
2021 — conf
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing.
ACSCC
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
2021 J jnl
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs.
IEEE Signal Process. Lett.
Wei Gao, Jie Chen, Cédric Richard
2020 J jnl
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing.
IEEE Trans. Image Process.
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2020 J jnl
Affine Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Process.
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
2020 J jnl
Affine Combination of Diffusion Strategies over Networks.
CoRR
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
2020 J jnl
Convex Combination of Diffusion Strategies Over Networks.
IEEE Trans. Signal Inf. Process. over Networks
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed
2020 J jnl
Diffusion LMS With Communication Delays: Stability and Performance Analysis.
IEEE Signal Process. Lett.
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2020 J jnl
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing.
CoRR
Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard
2020 Misc conf
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution.
ICASSP
Xiuheng Wang, Jie Chen, Cédric Richard, David Brie
2020 J jnl
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning.
IEEE Signal Process. Mag.
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020 J jnl
Multitask learning over graphs.
CoRR
Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed
2020 Misc conf
Non-parametric Community Change-points Detection in Streaming Graph Signals.
ICASSP
André Ferrari, Cédric Richard
2020 J jnl
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models.
IEEE Trans. Signal Inf. Process. over Networks
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2020 — conf
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method.
EUSIPCO
Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard
2020 Misc conf
Online Graph Topology Inference with Kernels For Brain Connectivity Estimation.
ICASSP
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard
2020 — conf
Online Graph-Based Change Point Detection in Multiband Image Sequences.
EUSIPCO
R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez
2020 — conf
Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity.
EUSIPCO
Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard
2020 J jnl
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization.
IEEE Trans. Signal Process.
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2020 Misc conf
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure.
ICASSP
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2019 J jnl
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing.
CoRR
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2019 J jnl
A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett.
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2019 J jnl
A Regularization Framework for Learning Over Multitask Graphs.
IEEE Signal Process. Lett.
Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed
2019 J jnl
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis.
CoRR
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2019 — conf
Distributed Change Detection in Streaming Graph Signals.
CAMSAP
André Ferrari, Cédric Richard, Louis Verduci
2019 J jnl
Distributed Change Detection in Streaming Graph Signals.
CoRR
André Ferrari, Cédric Richard, Louis Verduci
2019 — conf
Joint unmixing-deconvolution algorithms for hyperspectral images.
EUSIPCO
Yingying Song, El-Hadi Djermoune, David Brie, Cédric Richard
2019 — conf
Kernel Based Online Change Point Detection.
EUSIPCO
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
2019 — conf
Learning Causal Networks Topology From Streaming Graph Signals.
EUSIPCO
Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard
2019 J jnl
Learning Combination of Graph Filters for Graph Signal Modeling.
IEEE Signal Process. Lett.
Fei Hua, Cédric Richard, Jie Chen, Haiyan Wang, Pierre Borgnat, Paulo Gonçalves
2019 — conf
Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images.
EUSIPCO
B. B. Gallo, Sérgio J. M. de Almeida, José C. M. Bermudez, Jie Chen, Cédric Richard
2019 J jnl
On Reducing the Communication Cost of the Diffusion LMS Algorithm.
IEEE Trans. Signal Inf. Process. over Networks
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2019 J jnl
Online Deconvolution for Industrial Hyperspectral Imaging Systems.
SIAM J. Imaging Sci.
Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
2018 — conf
A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing.
EUSIPCO
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2018 Misc conf
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator.
ICASSP
Rita Ammanouil, André Ferrari, Cédric Richard
2018 Misc conf
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS.
ICASSP
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2018 J jnl
Decentralized Online Learning With Kernels.
IEEE Trans. Signal Process.
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2018 Misc conf
Decentralized Online Nonparametric Learning.
ACSSC
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2018 Misc conf
Decentralized clustering for node-variant graph filtering with graph diffusion LMS.
ACSSC
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed
2018 Misc conf
Distributed Diffusion Adaptation Over Graph Signals.
ICASSP
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
2018 J jnl
Model-driven online parameter adjustment for zero-attracting LMS.
Signal Process.
Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen
2018 — conf
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation.
SSP
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
2017 — conf
A design methodology for the Gaussian KLMS algorithm.
EUSIPCO
Pedro Pedrosa, José Carlos Moreira Bermudez, Cédric Richard
2017 Misc conf
A graph diffusion LMS strategy for adaptive graph signal processing.
ACSSC
Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed
2017 J jnl
Adaptation and learning over networks for nonlinear system modeling.
CoRR
Simone Scardapane, Jie Chen, Cédric Richard
2017 — conf
An adaptive distributed asynchronous algorithm with application to target localization.
CAMSAP
Rahul Mourya, Pascal Bianchi, Adil Salim, Cédric Richard
2017 J jnl
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem.
IEEE Trans. Image Process.
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2017 J jnl
Decentralized Online Learning with Kernels.
CoRR
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2017 — conf
Decentralized efficient nonparametric stochastic optimization.
GlobalSIP
Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro
2017 J jnl
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints.
IEEE Trans. Signal Process.
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2017 — conf
Distributed approach for deblurring large images with shift-variant blur.
EUSIPCO
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
2017 J jnl
Multitask Diffusion Adaptation Over Networks With Common Latent Representations.
IEEE J. Sel. Top. Signal Process.
Jie Chen, Cédric Richard, Ali H. Sayed
2017 J jnl
Multitask diffusion adaptation over networks with common latent representations.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2017 J jnl
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions.
IEEE Trans. Image Process.
Rita Ammanouil, André Ferrari, Cédric Richard, Sandrine Mathieu
2017 J jnl
On reducing the communication cost of the diffusion LMS algorithm.
CoRR
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2017 — conf
Online deconvolution for pushbroom hyperspectral imaging systems.
CAMSAP
Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
2017 — conf
Penalty-Based multitask estimation with non-local linear equality constraints.
CAMSAP
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang
2017 Misc conf
Penalty-based multitask distributed adaptation over networks with constraints.
ACSSC
Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang
2017 J jnl
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing.
CoRR
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2016 J jnl
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints.
CoRR
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 Misc conf
Diffusion LMS over multitask networks with noisy links.
ICASSP
Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
2016 Misc conf
Distributed learning over multitask networks with linearly related tasks.
ACSSC
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 Misc conf
Doubly compressed diffusion LMS over adaptive networks.
ACSSC
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2016 J jnl
Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach.
IEEE Trans. Geosci. Remote. Sens.
Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
2016 Misc conf
Group diffusion LMS.
ICASSP
Jie Chen, Shang-Kee Ting, Cédric Richard, Ali H. Sayed
2016 J jnl
Guest Editorial Inference and Learning over Networks.
IEEE Trans. Signal Inf. Process. over Networks
Vincenzo Matta, Cédric Richard, Venkatesh Saligrama, Ali H. Sayed
2016 J jnl
Multitask Diffusion Adaptation Over Asynchronous Networks.
IEEE Trans. Signal Process.
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 J jnl
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
IEEE Trans. Image Process.
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret
2016 J jnl
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization.
IEEE Trans. Signal Process.
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 J jnl
Reweighted nonnegative least-mean-square algorithm.
Signal Process.
Jie Chen, Cédric Richard, José Carlos M. Bermudez
2016 C conf
Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model.
IGARSS
Jie Chen, Cédric Richard
2016 — conf
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.
SSP
Rita Ammanouil, André Ferrari, Cédric Richard, Jean-Yves Tourneret
2016 J jnl
Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning.
Signal Process.
Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez
2016 J jnl
Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem.
CoRR
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard
2016 — conf
Toward privacy-preserving diffusion strategies for adaptation and learning over networks.
EUSIPCO
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2016 J jnl
Transient Performance Analysis of Zero-Attracting LMS.
IEEE Signal Process. Lett.
Jie Chen, Cédric Richard, Yingying Song, David Brie
2016 J jnl
Transient performance analysis of zero-attracting LMS.
CoRR
Jie Chen, Cédric Richard, Yingying Song, David Brie
2016 Misc conf
Unsupervised neighbor dependent nonlinear unmixing.
ICASSP
Rita Ammanouil, André Ferrari, Cédric Richard
2015 Misc conf
A graph Laplacian regularization for hyperspectral data unmixing.
ICASSP
Rita Ammanouil, André Ferrari, Cédric Richard
2015 Misc conf
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces.
ICASSP
Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard
2015 — conf
Adaptive clustering for multitask diffusion networks.
EUSIPCO
Jie Chen, Cédric Richard, Ali H. Sayed
2015 — conf
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images.
EUSIPCO
Tales Imbiriba, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2015 J jnl
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images.
CoRR
Tales Imbiriba, José C. M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2015 Misc conf
Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary.
ICASSP
Wei Gao, Jie Chen, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang
2015 J jnl
Diffusion LMS Over Multitask Networks.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, Ali H. Sayed
2015 — conf
Diffusion adaptation over networks with kernel least-mean-square.
CAMSAP
Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang
2015 J jnl
Distributed image reconstruction for very large arrays in radio astronomy.
CoRR
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2015 J jnl
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach.
CoRR
Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret
2015 — conf
Hyperspectral data unmixing with graph-based regularization.
WHISPERS
Rita Ammanouil, André Ferrari, Cédric Richard
2015 Misc conf
Multitask diffusion LMS with sparsity-based regularization.
ICASSP
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2015 J jnl
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
CoRR
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret
2015 J jnl
On-body TOA-based ranging error model for motion capture applications within wearable UWB networks.
J. Ambient Intell. Humaniz. Comput.
Jihad Hamie, Benoît Denis, Raffaele D'Errico, Cédric Richard
2015 J jnl
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization.
CoRR
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2015 J jnl
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning.
CoRR
Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez
2014 J jnl
A graph Laplacian regularization for hyperspectral data unmixing.
CoRR
Rita Ammanouil, André Ferrari, Cédric Richard
2014 J jnl
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces.
CoRR
Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard
2014 J jnl
Blind and Fully Constrained Unmixing of Hyperspectral Images.
IEEE Trans. Image Process.
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
2014 Misc conf
Convergence analysis of kernel LMS algorithm with pre-tuned dictionary.
ICASSP
Jie Chen, Wei Gao, Cédric Richard, José Carlos M. Bermudez
2014 — conf
Convex combinations of kernel adaptive filters.
MLSP
Wei Gao, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang
2014 J jnl
Decentralized Positioning Algorithm for Relative Nodes Localization in Wireless Body Area Networks.
Mob. Networks Appl.
Jihad Hamie, Benoît Denis, Cédric Richard
2014 Misc conf
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging.
ICASSP
Tales Imbiriba, José C. M. Bermudez, Jean-Yves Tourneret, Cédric Richard
2014 Misc conf
Diffusion LMS for clustered multitask networks.
ICASSP
Jie Chen, Cédric Richard, Ali H. Sayed
2014 — conf
Diffusion LMS for multitask problems with overlapping hypothesis subspaces.
MLSP
Jie Chen, Cédric Richard, Alfred O. Hero III, Ali H. Sayed
2014 J jnl
Diffusion LMS over Multitask Networks.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2014 — conf
Distributed image reconstruction for very large arrays in radio astronomy.
SAM
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2014 — conf
GLUP: Yet another algorithm for blind unmixing of hyperspectral data.
WHISPERS
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
2014 J jnl
Multitask Diffusion Adaptation Over Networks.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, Ali H. Sayed
2014 J jnl
Multitask diffusion adaptation over asynchronous networks.
CoRR
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014 J jnl
Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ
IEEE Trans. Geosci. Remote. Sens.
Jie Chen, Cédric Richard, Paul Honeine
2014 J jnl
Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms.
IEEE Signal Process. Mag.
Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard, José C. M. Bermudez, Steve McLaughlin, Alfred O. Hero III
2014 Misc conf
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization.
ICASSP
Jie Chen, Cédric Richard, Alfred O. Hero III
2014 J jnl
Online Dictionary Learning for Kernel LMS.
IEEE Trans. Signal Process.
Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang
2014 Misc conf
Performance analysis of multitask diffusion adaptation over asynchronous networks.
ACSSC
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014 J jnl
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR
Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic
2014 J jnl
Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants.
IEEE Signal Process. Lett.
Jie Chen, José Carlos M. Bermudez, Cédric Richard
2014 J jnl
Steady-state performance of non-negative least-mean-square algorithm and its variants.
CoRR
Jie Chen, José Carlos M. Bermudez, Cédric Richard
2014 J jnl
Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2013 J jnl
Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires.
Traitement du Signal
Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen
2013 — conf
Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data.
EUSIPCO
Paul Honeine, Henri Lantéri, Cédric Richard
2013 J jnl
Diffusion LMS for clustered multitask networks.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2013 J jnl
Distributed dictionary learning over a sensor network
CoRR
Pierre Chainais, Cédric Richard
2013 — conf
Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model.
WHISPERS
Jie Chen, Cédric Richard, Paul Honeine
2013 — conf
Joint motion capture and navigation in heterogeneous Body Area Networks with distance estimation over neighborhood graph.
WPNC
Jihad Hamie, Benoît Denis, Cédric Richard
2013 Misc conf
Kernel LMS algorithm with forward-backward splitting for dictionary learning.
ICASSP
Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang, Rémi Flamary
2013 — conf
Learning a common dictionary over a sensor network.
CAMSAP
Pierre Chainais, Cédric Richard
2013 J jnl
Multiclass classification machines with the complexity of a single binary classifier.
Signal Process.
Paul Honeine, Zineb Noumir, Cédric Richard
2013 J jnl
Multitask Diffusion Adaptation over Networks.
CoRR
Jie Chen, Cédric Richard, Ali H. Sayed
2013 J jnl
Non-negativity constraints on the pre-image for pattern recognition with kernel machines.
Pattern Recognit.
Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud
2013 — conf
Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm.
EUSIPCO
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2013 J jnl
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, Paul Honeine
2013 Misc conf
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
ICASSP
Jie Chen, Cédric Richard, André Ferrari, Paul Honeine
2013 — conf
Performance analysis of diffusion LMS in multitask networks.
CAMSAP
Jie Chen, Cédric Richard
2012 Misc conf
A Gaussian process regression approach for testing Granger causality between time series data.
ICASSP
Pierre-Olivier Amblard, Olivier J. J. Michel, Cédric Richard, Paul Honeine
2012 C conf
Adaptive inverse control using kernel identification.
ACC
Andrea Abelli, André Ferrari, Salvatore Monaco, Cédric Richard
2012 — conf
Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm.
ACSCC
Cédric Richard, José Carlos M. Bermudez
2012 J jnl
Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization.
IEEE Trans. Mob. Comput.
Farah Mourad, Hicham Chehade, Hichem Snoussi, Farouk Yalaoui, Lionel Amodeo, Cédric Richard
2012 — conf
Dictionary adaptation for online prediction of time series data with kernels.
SSP
Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar
2012 J jnl
Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks.
IEEE Trans. Veh. Technol.
Jing Teng, Hichem Snoussi, Cédric Richard, Rong Zhou
2012 — conf
Empirical modeling of intra-BAN ranging errors based on IR-UWB TOA estimation.
BODYNETS
Jihad Hamie, Benoît Denis, Raffaele D'Errico, Cédric Richard
2012 J jnl
Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach.
IEEE Trans. Geosci. Remote. Sens.
Paul Honeine, Cédric Richard
2012 C conf
Hyperspectral image unmixing using manifold learning methods derivations and comparative tests.
IGARSS
Nguyen Hoang Nguyen, Cédric Richard, Paul Honeine, Céline Theys
2012 — conf
Kernelizing Geweke's measures of granger causality.
MLSP
Pierre-Olivier Amblard, Rémy Vincent, Olivier J. J. Michel, Cédric Richard
2012 — conf
Kernels for time series of exponential decay/growth processes.
MLSP
Zineb Noumir, Paul Honeine, Cédric Richard
2012 — conf
Modeling electrocardiogram using Yule-Walker equations and kernel machines.
ICT
Maya Kallas, Clovis Francis, Paul Honeine, Hassan Amoud, Cédric Richard
2012 — conf
Nodes updates censoring and scheduling in constrained decentralized positioning for large-scale motion capture based on wireless body area networks.
BODYNETS
Jihad Hamie, Benoît Denis, Cédric Richard
2012 — conf
Nonlinear unmixing of hyperspectral images based on multi-kernel learning.
WHISPERS
Jie Chen, Cédric Richard, Paul Honeine
2012 — conf
One-class machines based on the coherence criterion.
SSP
Zineb Noumir, Paul Honeine, Cédric Richard
2012 — conf
Online one-class machines based on the coherence criterion.
EUSIPCO
Zineb Noumir, Paul Honeine, Cédric Richard
2012 C conf
Prediction of rain attenuation series based on discretized spectral model.
IGARSS
Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret
2012 Misc conf
Prediction of time series using Yule-Walker equations with kernels.
ICASSP
Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud
2012 J jnl
Prediction-based cluster management for target tracking in wireless sensor networks.
Wirel. Commun. Mob. Comput.
Jing Teng, Hichem Snoussi, Cédric Richard
2012 J jnl
Robust Interval-Based Localization Algorithms for Mobile Sensor Networks.
Int. J. Distributed Sens. Networks
Farah Mourad, Hichem Snoussi, Michel Kieffer, Cédric Richard
2012 — conf
Session WA3a: Adaptive signal processing.
ACSCC
Cédric Richard
2012 J jnl
Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Process.
Wemerson Delcio Parreira, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2011 J jnl
A Closed-form Solution for the Pre-image Problem in Kernel-based Machines.
J. Signal Process. Syst.
Paul Honeine, Cédric Richard
2011 J jnl
A Robust Localization Algorithm for Mobile Sensors Using Belief Functions.
IEEE Trans. Veh. Technol.
Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard
2011 — conf
A modified non-negative LMS algorithm and its stochastic behavior analysis.
ACSCC
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2011 — conf
A novel kernel-based nonlinear unmixing scheme of hyperspectral images.
ACSCC
Jie Chen, Cédric Richard, Paul Honeine
2011 B conf
Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -.
AVSS
Sébastien Lecomte, Régis Lengellé, Cédric Richard, François Capman, Bertrand Ravera
2011 J jnl
Adaptive quantized target tracking in wireless sensor networks.
Wirel. Networks
Majdi Mansouri, Ilham Ouachani, Hichem Snoussi, Cédric Richard
2011 J jnl
Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors.
IET Wirel. Sens. Syst.
Majdi Mansouri, Hichem Snoussi, Cédric Richard
2011 J jnl
Collaborative multi-target tracking in wireless sensor networks.
Int. J. Syst. Sci.
Jing Teng, Hichem Snoussi, Cédric Richard
2011 J jnl
Interval-Based Localization using RSSI Comparison in MANETs.
IEEE Trans. Aerosp. Electron. Syst.
Farah Mourad, Hichem Snoussi, Cédric Richard
2011 B conf
Interval-based localization for mobile sensors in low-anchors density networks.
IWCMC
Farah Mourad, Hichem Snoussi, Cédric Richard
2011 J jnl
Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold.
Pattern Recognit. Lett.
Hicham Laanaya, Fahed Abdallah, Hichem Snoussi, Cédric Richard
2011 — conf
Non-negative pre-image in machine learning for pattern recognition.
EUSIPCO
Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud
2011 J jnl
Nonnegative Least-Mean-Square Algorithm.
IEEE Trans. Signal Process.
Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2011 — conf
Nonnegative matrix factorization with regularization and sparsity-enforcing terms.
CAMSAP
Henri Lantéri, Céline Theys, Cédric Richard
2011 — conf
Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis.
EUSIPCO
Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine
2011 B conf
Optimal path selection for quantized target tracking in distributed sensor networks.
IWCMC
Majdi Mansouri, Hichem Snoussi, Cédric Richard
2011 J jnl
Preimage Problem in Kernel-Based Machine Learning.
IEEE Signal Process. Mag.
Paul Honeine, Cédric Richard
2011 B conf
Quantized variational filtering for target tracking and relay localization in sensor networks.
IWCMC
Majdi Mansouri, Lyes Khoukhi, Hichem Snoussi, Cédric Richard
2011 Misc conf
Regularized split gradient method for nonnegative matrix factorization.
ICASSP
Henri Lantéri, Céline Theys, Cédric Richard, David Mary
2011 J jnl
Stationnarité relative et approches connexes.
Traitement du Signal
Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo
2011 — conf
Steady-state behavior and design of the Gaussian KLMS algorithm.
EUSIPCO
Wemerson Delcio Parreira, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2011 Misc conf
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm.
ICASSP
Wemerson Delcio Parreira, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret
2011 Misc conf
Transitional surrogates.
ICASSP
Pierre Borgnat, Patrick Flandrin, André Ferrari, Cédric Richard
2010 J jnl
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks.
EURASIP J. Wirel. Commun. Netw.
Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Jie Chen, Hichem Snoussi
2010 — conf
A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering.
VTC Fall
Majdi Mansouri, Hichem Snoussi, Cédric Richard
2010 C conf
A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex.
IGARSS
Paul Honeine, Cédric Richard
2010 J jnl
Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks.
IEEE Trans. Mob. Comput.
Jing Teng, Hichem Snoussi, Cédric Richard
2010 B conf
Joint Multiple Target Tracking and Channel Estimation in Wireless Sensor Networks.
GLOBECOM
Majdi Mansouri, Hichem Snoussi, Cédric Richard
2010 — conf
Split gradient method for nonnegative matrix factorization.
EUSIPCO
Henri Lantéri, Céline Theys, Cédric Richard, Cédric Févotte
2010 Misc conf
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
ICASSP
Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat
2010 — conf
System identification under non-negativity constraints.
EUSIPCO
Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys
2010 J jnl
Testing stationarity with surrogates: a time-frequency approach.
IEEE Trans. Signal Process.
Pierre Borgnat, Patrick Flandrin, Paul Honeine, Cédric Richard, Jun Xiao
2010 — conf
The angular kernel in machine learning for hyperspectral data classification.
WHISPERS
Paul Honeine, Cédric Richard
2009 J jnl
Anchor-based localization via interval analysis for mobile ad-hoc sensor networks.
IEEE Trans. Signal Process.
Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard
2009 Misc conf
Data-driven online variational filtering in wireless sensor networks.
ICASSP
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djuric, Cédric Richard
2009 Misc conf
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks.
ICASSP
Jing Teng, Hichem Snoussi, Cédric Richard
2009 Misc conf
Functional estimation in Hilbert space for distributed learning in wireless sensor networks.
ICASSP
Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Hichem Snoussi, Mehdi Essoloh, François Vincent
2009 J jnl
Online Prediction of Time Series Data With Kernels.
IEEE Trans. Signal Process.
Cédric Richard, José Carlos M. Bermudez, Paul Honeine
2008 B conf
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model.
GLOBECOM
Paul Honeine, Mehdi Essoloh, Cédric Richard, Hichem Snoussi
2008 — conf
Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space.
EUSIPCO
Mehdi Essoloh, Cédric Richard, Hichem Snoussi, Paul Honeine
2008 — conf
Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks.
ACSCC
Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Hichem Snoussi
2008 B conf
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques.
GLOBECOM
Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard
2008 J jnl
Matched Subspace Detection With Hypothesis Dependent Noise Power.
IEEE Trans. Signal Process.
François Vincent, Olivier Besson, Cédric Richard
2008 Misc conf
Optimizing kernel alignment by data translation in feature space.
ICASSP
Jean-Baptiste Pothin, Cédric Richard
2008 — conf
Variational Filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network.
EUSIPCO
Jing Teng, Hichem Snoussi, Cédric Richard
2007 J jnl
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks.
Int. J. Sens. Networks
Hichem Snoussi, Cédric Richard
2007 — conf
Information-theoretic node scheduling in collaborative sensor networks.
ISSPA
Hichem Snoussi, Cédric Richard
2007 B conf
On-line Nonlinear Sparse Approximation of Functions.
ISIT
Paul Honeine, Cédric Richard, José Carlos M. Bermudez
2007 — conf
Optimal Feature Representation for Kernel Machines using Kernel-Target Alignment Criterion.
ICASSP (3)
Jean-Baptiste Pothin, Cédric Richard
2007 J jnl
Time-Frequency Learning Machines.
IEEE Trans. Signal Process.
Paul Honeine, Cédric Richard, Patrick Flandrin
2006 — conf
A greedy algorithm for optimizing the kernel alignment and the performance of kernel machines.
EUSIPCO
Jean-Baptiste Pothin, Cédric Richard
2006 B conf
Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks.
GLOBECOM
Hichem Snoussi, Cédric Richard
2006 — conf
Incorporating prior information into Support Vector Machines in the form of ellipsoidal knowledge sets.
EUSIPCO
Jean-Baptiste Pothin, Cédric Richard
2006 J jnl
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG.
IEEE Trans. Signal Process.
Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet
2006 — conf
Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach.
ICASSP (3)
Paul Honeine, Cédric Richard, Patrick Flandrin, Jean-Baptiste Pothin
2005 J jnl
Adaptive diffusion as a versatile tool for time-frequency and time-scale representations processing: a review.
IEEE Trans. Signal Process.
Julien Gosme, Cédric Richard, Paulo Gonçalves
2005 J jnl
Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer kernel-based representations.
IEEE Signal Process. Lett.
Julien Gosme, Cédric Richard
2005 — conf
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising.
ICASSP (4)
Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet
2004 — conf
A sequential approach for multi-class discriminant analysis with kernels.
ICASSP (5)
Fahed Abdallah, Cédric Richard, Régis Lengellé
2004 J jnl
An improved training algorithm for nonlinear kernel discriminants.
IEEE Trans. Signal Process.
Fahed Abdallah, Cédric Richard, Régis Lengellé
2004 — conf
Anisotropic diffusion equations for adaptive quadratic representations.
EUSIPCO
Julien Gosme, Cédric Richard, Paulo Gonçalves
2004 — conf
Diffusion equations for adaptive affine distributions.
ICASSP (2)
Julien Gosme, Cédric Richard, Paulo Gonçalves
2003 — conf
Kernel second-order discriminants versus support vector machines.
ICASSP (6)
Fahed Abdallah, Cédric Richard, Régis Lengellé
2002 — conf
Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors.
EUSIPCO
Julien Gosme, Paulo Gonçalves, Cédric Richard, Régis Lengellé
2002 J jnl
Bayes-optimal detectors design using relevant second-order criteria.
IEEE Signal Process. Lett.
Cédric Richard, Régis Lengellé, Fahed Abdallah
2002 — conf
Classification en temps-fréquence à partir de données expertisées - Application à la détection des complexes-K.
EGC
Arnaud Coatanhay, Cédric Richard, Luc Staner
2002 — conf
On equivalence between detectors obtained from second-order measures of performance.
EUSIPCO
Fahed Abdallah, Cédric Richard, Régis Lengellé
2002 J jnl
Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions.
IEEE Trans. Signal Process.
Cédric Richard
2001 J jnl
Linear redundancy of information carried by the discrete Wigner distribution.
IEEE Trans. Signal Process.
Cédric Richard
2001 Misc conf
Time-frequency analysis of near-field optical data for extracting local attributes.
ICASSP
Dominique Barchiesi, Cédric Richard
2000 Misc conf
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals.
ICASSP
Cédric Richard, Régis Lengellé
1999 J jnl
Data-driven design and complexity control of time-frequency detectors.
Signal Process.
Cédric Richard, Régis Lengellé
1998 Misc conf
Structural risk minimization for reduced-bias time-frequency-based detectors design.
ICASSP
Cédric Richard, Régis Lengellé
1997 J jnl
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method.
Signal Process.
Cédric Richard, Régis Lengellé