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2020 – today
- 2024
[j94]Ziye Yang
, Xiang Song, Jie Chen, Cédric Richard, Israel Cohen:
Learning Noise Adapters for Incremental Speech Enhancement. IEEE Signal Process. Lett. 31: 2915-2919 (2024)- [j93]Wei Gao, Jie Chen, Cédric Richard:
Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 490-494 (2024) - [j92]Mengfei Zhang, Yuchen Dong, Jie Chen, Cédric Richard:
Diffusion-Based Distributed Wave-Domain Active Noise Control With Convex Sum of Non-Convex Quadratic Costs. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1531-1535 (2024) - [j91]Siyuan Yuan, Martijn van den Ende, Jingxiao Liu, Hae Young Noh, Robert G. Clapp, Cédric Richard, Biondo Biondi:
Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing. IEEE Trans. Intell. Transp. Syst. 25(2): 1913-1924 (2024) - [c142]Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen:
Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model. EUSIPCO 2024: 1042-1046 - [c141]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard:
Riemannian Diffusion Adaptation over Graphs with Application to Online Distributed PCA. ICASSP 2024: 9736-9740 - [c140]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard:
Non-parametric Online Change Point Detection on Riemannian Manifolds. ICML 2024 - 2023
- [j90]André Ferrari, Cédric Richard, Anthony Bourrier, Ikram Bouchikhi:
Online change-point detection with kernels. Pattern Recognit. 133: 109022 (2023) - [j89]Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja:
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. IEEE Signal Process. Mag. 40(2): 61-74 (2023) - [j88]Xiuheng Wang, Jie Chen, Cédric Richard:
Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j87]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Deep Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j86]Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data. IEEE Trans. Intell. Transp. Syst. 24(3): 2947-2962 (2023) - [j85]Martijn van den Ende, Itzhak Lior, Jean-Paul Ampuero, Anthony Sladen, André Ferrari, Cédric Richard:
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3371-3384 (2023) - [j84]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction via a Randomized Algorithm. IEEE Trans. Veh. Technol. 72(6): 7597-7612 (2023) - [c139]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, André Ferrari:
DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs. ACSSC 2023: 689-693 - [c138]Mengfei Zhang, Jie Chen, Cédric Richard:
Distributed Learning with Convex SUM-of -Non-Convex Objective. CAMSAP 2023: 36-40 - [c137]Xuandi Sun, Roula Nassif, Cédric Richard, Haiyan Wang:
Anomaly Detection in Graph Signals with Canonical Correlation Analysis. CAMSAP 2023: 376-380 - [c136]Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard:
Distributed Pressure Matching for Personal Sound Zone Control Using Diffusion Adaptation. CAMSAP 2023: 501-505 - [c135]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard:
Online Change Point Detection on Riemannian Manifolds with Karcher Mean Estimates. EUSIPCO 2023: 2033-2037 - [c134]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Change Point Detection with Neural Online Density-Ratio Estimator. ICASSP 2023: 1-5 - [c133]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Adaptive Random Fourier Features Kernel LMS. ICSPCC 2023: 1-6 - [i32]Mengfei Zhang, Junqing Zhang, Jie Chen, Cédric Richard:
Distributed pressure matching strategy using diffusion adaptation. CoRR abs/2311.07729 (2023) - 2022
- [j83]Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos M. Bermudez, Cédric Richard:
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j82]Clémence Prévost, Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard:
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. 15(1): 110-138 (2022) - [j81]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Transient Performance Analysis of the $\ell _1$-RLS. IEEE Signal Process. Lett. 29: 90-94 (2022) - [j80]Xiuheng Wang, Jie Chen, Qi Wei, Cédric Richard:
Hyperspectral Image Super-Resolution via Deep Prior Regularization With Parameter Estimation. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1708-1723 (2022) - [j79]Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard, José Carlos M. Bermudez:
Graph Topology Inference With Derivative-Reproducing Property in RKHS: Algorithm and Convergence Analysis. IEEE Trans. Signal Inf. Process. over Networks 8: 78-91 (2022) - [c132]Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen:
Deep Image Fusion Accounting for Inter-Image Variability. IEEECONF 2022: 645-649 - [c131]Yacine Khacef, Martijn van den Ende, André Ferrari, Cédric Richard, Anthony Sladen:
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. IEEECONF 2022: 790-794 - [c130]Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. EUSIPCO 2022: 882-886 - [c129]Xiuheng Wang, Jie Chen, Cédric Richard:
Hyperspectral Image Super-Resolution with Deep Priors and Degradation Model Inversion. ICASSP 2022: 2814-2818 - [c128]Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang:
Transient Analysis of Clustered Multitask Diffusion RLS Algorithm. ICASSP 2022: 5962-5966 - [c127]Wei Gao, Yi Xu, Jie Chen, Cédric Richard:
Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs. MLSP 2022: 1-6 - [i31]Xiuheng Wang, Jie Chen, Cédric Richard:
Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion. CoRR abs/2201.09851 (2022) - [i30]Xiuheng Wang, Jie Chen, Cédric Richard:
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors. CoRR abs/2211.15307 (2022) - 2021
- [j78]Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard:
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE J. Sel. Top. Signal Process. 15(3): 702-717 (2021) - [j77]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. IEEE Geosci. Remote. Sens. Lett. 18(10): 1831-1835 (2021) - [j76]Aneline Dolet, Rita Ammanouil, Virginie Petrilli, Cédric Richard, Piero Tortoli, Didier Vray, François Varray:
In Vitro and In Vivo Multispectral Photoacoustic Imaging for the Evaluation of Chromophore Concentration. Sensors 21(10): 3366 (2021) - [j75]Wei Gao, Jie Chen, Cédric Richard:
Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs. IEEE Signal Process. Lett. 28: 1160-1164 (2021) - [j74]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data. IEEE Trans. Computational Imaging 7: 975-988 (2021) - [c126]Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. ACSCC 2021: 1104-1108 - [c125]Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard:
Coupled Tensor Models Accounting for Inter-image Variability. ACSCC 2021: 1586-1590 - [c124]Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard:
Convergence Analysis of the Graph-Topology-Inference Kernel LMS Algorithm. ICASSP 2021: 5375-5379 - 2020
- [j73]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Diffusion LMS With Communication Delays: Stability and Performance Analysis. IEEE Signal Process. Lett. 27: 730-734 (2020) - [j72]Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. 37(3): 14-25 (2020) - [j71]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
A Blind Multiscale Spatial Regularization Framework for Kernel-Based Spectral Unmixing. IEEE Trans. Image Process. 29: 4965-4979 (2020) - [j70]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. IEEE Trans. Signal Inf. Process. over Networks 6: 63-77 (2020) - [j69]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Convex Combination of Diffusion Strategies Over Networks. IEEE Trans. Signal Inf. Process. over Networks 6: 714-731 (2020) - [j68]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Affine Combination of Diffusion Strategies Over Networks. IEEE Trans. Signal Process. 68: 2087-2104 (2020) - [j67]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization. IEEE Trans. Signal Process. 68: 6319-6335 (2020) - [c123]R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez:
Online Graph-Based Change Point Detection in Multiband Image Sequences. EUSIPCO 2020: 850-854 - [c122]Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard:
Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity. EUSIPCO 2020: 2190-2194 - [c121]Haoyuan Cai, Maboud F. Kaloorazi, Jie Chen, Wei Chen, Cédric Richard:
Online Dominant Generalized Eigenvectors Extraction Via A Randomized Method. EUSIPCO 2020: 2353-2357 - [c120]Mircea Moscu, Ricardo Augusto Borsoi, Cédric Richard:
Online Graph Topology Inference with Kernels For Brain Connectivity Estimation. ICASSP 2020: 1200-1204 - [c119]Xiuheng Wang, Jie Chen, Cédric Richard, David Brie:
Learning Spectral-Spatial Prior Via 3DDNCNN for Hyperspectral Image Deconvolution. ICASSP 2020: 2403-2407 - [c118]André Ferrari, Cédric Richard:
Non-parametric Community Change-points Detection in Streaming Graph Signals. ICASSP 2020: 5545-5549 - [c117]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. ICASSP 2020: 5900-5904 - [i29]Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Cédric Richard:
Kalman Filtering and Expectation Maximization for Multitemporal Spectral Unmixing. CoRR abs/2001.00425 (2020) - [i28]Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask learning over graphs. CoRR abs/2001.02112 (2020) - [i27]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen, Ali H. Sayed:
Affine Combination of Diffusion Strategies over Networks. CoRR abs/2002.03209 (2020)
2010 – 2019
- 2019
- [j66]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 16(4): 598-602 (2019) - [j65]Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie:
Online Deconvolution for Industrial Hyperspectral Imaging Systems. SIAM J. Imaging Sci. 12(1): 54-86 (2019) - [j64]Roula Nassif, Stefan Vlaski, Cédric Richard, Ali H. Sayed:
A Regularization Framework for Learning Over Multitask Graphs. IEEE Signal Process. Lett. 26(2): 297-301 (2019) - [j63]Fei Hua, Cédric Richard, Jie Chen, Haiyan Wang, Pierre Borgnat, Paulo Gonçalves:
Learning Combination of Graph Filters for Graph Signal Modeling. IEEE Signal Process. Lett. 26(12): 1912-1916 (2019) - [j62]Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard:
On Reducing the Communication Cost of the Diffusion LMS Algorithm. IEEE Trans. Signal Inf. Process. over Networks 5(1): 100-112 (2019) - [c116]André Ferrari, Cédric Richard, Louis Verduci:
Distributed Change Detection in Streaming Graph Signals. CAMSAP 2019: 166-170 - [c115]Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot:
Kernel Based Online Change Point Detection. EUSIPCO 2019: 1-5 - [c114]B. B. Gallo, Sérgio J. M. de Almeida, José C. M. Bermudez, Jie Chen, Cédric Richard:
Non-Destructive Prediction of Pork Meat Degradation using a Stacked Autoencoder Classifier on Hyperspectral Images. EUSIPCO 2019: 1-5 - [c113]Mircea Moscu, Roula Nassif, Fei Hua, Cédric Richard:
Learning Causal Networks Topology From Streaming Graph Signals. EUSIPCO 2019: 1-5 - [c112]Yingying Song, El-Hadi Djermoune, David Brie, Cédric Richard:
Joint unmixing-deconvolution algorithms for hyperspectral images. EUSIPCO 2019: 1-5 - [i26]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing. CoRR abs/1908.06925 (2019) - [i25]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis. CoRR abs/1909.09741 (2019) - [i24]André Ferrari, Cédric Richard, Louis Verduci:
Distributed Change Detection in Streaming Graph Signals. CoRR abs/1910.06561 (2019) - 2018
- [j61]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Model-driven online parameter adjustment for zero-attracting LMS. Signal Process. 152: 373-383 (2018) - [j60]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized Online Learning With Kernels. IEEE Trans. Signal Process. 66(12): 3240-3255 (2018) - [c111]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Decentralized clustering for node-variant graph filtering with graph diffusion LMS. ACSSC 2018: 1418-1422 - [c110]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized Online Nonparametric Learning. ACSSC 2018: 2139-2143 - [c109]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing. EUSIPCO 2018: 111-115 - [c108]Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed:
Distributed Diffusion Adaptation Over Graph Signals. ICASSP 2018: 4129-4133 - [c107]Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Adaptive Parameters Adjustment for Group Reweighted Zero-Attracting LMS. ICASSP 2018: 4294-4298 - [c106]Rita Ammanouil, André Ferrari, Cédric Richard:
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. ICASSP 2018: 4449-4453 - [c105]Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot:
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. SSP 2018: 538-542 - 2017
- [j59]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask Diffusion Adaptation Over Networks With Common Latent Representations. IEEE J. Sel. Top. Signal Process. 11(3): 563-579 (2017) - [j58]Rita Ammanouil, André Ferrari, Cédric Richard, Sandrine Mathieu:
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions. IEEE Trans. Image Process. 26(1): 340-354 (2017) - [j57]Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Band Selection for Nonlinear Unmixing of Hyperspectral Images as a Maximal Clique Problem. IEEE Trans. Image Process. 26(5): 2179-2191 (2017) - [j56]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Trans. Signal Process. 65(19): 4979-4993 (2017) - [c104]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Jianguo Huang:
Penalty-based multitask distributed adaptation over networks with constraints. ACSSC 2017: 908-912 - [c103]Roula Nassif, Cédric Richard, Jie Chen, Ali H. Sayed:
A graph diffusion LMS strategy for adaptive graph signal processing. ACSSC 2017: 1973-1976 - [c102]Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang:
Penalty-Based multitask estimation with non-local linear equality constraints. CAMSAP 2017: 1-5 - [c101]Rahul Mourya, Pascal Bianchi, Adil Salim, Cédric Richard:
An adaptive distributed asynchronous algorithm with application to target localization. CAMSAP 2017: 1-5 - [c100]Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie:
Online deconvolution for pushbroom hyperspectral imaging systems. CAMSAP 2017: 1-5 - [c99]Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard:
Distributed approach for deblurring large images with shift-variant blur. EUSIPCO 2017: 2463-2470 - [c98]Pedro Pedrosa, José Carlos Moreira Bermudez, Cédric Richard:
A design methodology for the Gaussian KLMS algorithm. EUSIPCO 2017: 2634-2638 - [c97]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized efficient nonparametric stochastic optimization. GlobalSIP 2017: 533-537 - [i23]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask diffusion adaptation over networks with common latent representations. CoRR abs/1702.03614 (2017) - [i22]Simone Scardapane, Jie Chen, Cédric Richard:
Adaptation and learning over networks for nonlinear system modeling. CoRR abs/1704.08913 (2017) - [i21]Alec Koppel, Santiago Paternain, Cédric Richard, Alejandro Ribeiro:
Decentralized Online Learning with Kernels. CoRR abs/1710.04062 (2017) - [i20]Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard:
On reducing the communication cost of the diffusion LMS algorithm. CoRR abs/1711.11423 (2017) - [i19]Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. CoRR abs/1712.01770 (2017) - 2016
- [j55]Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez:
Stochastic behavior of the nonnegative least mean fourth algorithm for stationary Gaussian inputs and slow learning. Signal Process. 128: 18-27 (2016) - [j54]Jie Chen, Cédric Richard, José Carlos M. Bermudez:
Reweighted nonnegative least-mean-square algorithm. Signal Process. 128: 131-141 (2016) - [j53]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient Performance Analysis of Zero-Attracting LMS. IEEE Signal Process. Lett. 23(12): 1786-1790 (2016) - [j52]Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret:
Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach. IEEE Trans. Geosci. Remote. Sens. 54(7): 3811-3821 (2016) - [j51]Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret:
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. IEEE Trans. Image Process. 25(3): 1136-1151 (2016) - [j50]Vincenzo Matta, Cédric Richard, Venkatesh Saligrama, Ali H. Sayed:
Guest Editorial Inference and Learning over Networks. IEEE Trans. Signal Inf. Process. over Networks 2(4): 423-425 (2016) - [j49]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Trans. Signal Process. 64(11): 2835-2850 (2016) - [j48]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Trans. Signal Process. 64(23): 6329-6344 (2016) - [c96]Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard:
Doubly compressed diffusion LMS over adaptive networks. ACSSC 2016: 987-991 - [c95]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Distributed learning over multitask networks with linearly related tasks. ACSSC 2016: 1390-1394 - [c94]Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard:
Toward privacy-preserving diffusion strategies for adaptation and learning over networks. EUSIPCO 2016: 1513-1517 - [c93]Rita Ammanouil, André Ferrari, Cédric Richard:
Unsupervised neighbor dependent nonlinear unmixing. ICASSP 2016: 1437-1441 - [c92]Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed:
Diffusion LMS over multitask networks with noisy links. ICASSP 2016: 4583-4587 - [c91]Jie Chen, Shang-Kee Ting, Cédric Richard, Ali H. Sayed:
Group diffusion LMS. ICASSP 2016: 4925-4929 - [c90]Jie Chen, Cédric Richard:
Robust nonlinear unmixing of hyperspectral images with a linear-mixture/nonlinear-fluctuation model. IGARSS 2016: 7002-7005 - [c89]Rita Ammanouil, André Ferrari, Cédric Richard, Jean-Yves Tourneret:
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions. SSP 2016: 1-5 - [i18]Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard:
Technical Report: Band selection for nonlinear unmixing of hyperspectral images as a maximal click problem. CoRR abs/1603.00437 (2016) - [i17]Jie Chen, Cédric Richard, Yingying Song, David Brie:
Transient performance analysis of zero-attracting LMS. CoRR abs/1608.07046 (2016) - [i16]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints. CoRR abs/1610.02943 (2016) - 2015
- [j47]Jihad Hamie, Benoît Denis, Raffaele D'Errico, Cédric Richard:
On-body TOA-based ranging error model for motion capture applications within wearable UWB networks. J. Ambient Intell. Humaniz. Comput. 6(5): 603-612 (2015) - [j46]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS Over Multitask Networks. IEEE Trans. Signal Process. 63(11): 2733-2748 (2015) - [c88]Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang:
Diffusion adaptation over networks with kernel least-mean-square. CAMSAP 2015: 217-220 - [c87]Jie Chen, Cédric Richard, Ali H. Sayed:
Adaptive clustering for multitask diffusion networks. EUSIPCO 2015: 200-204 - [c86]Tales Imbiriba, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. EUSIPCO 2015: 1651-1655 - [c85]Rita Ammanouil, André Ferrari, Cédric Richard:
A graph Laplacian regularization for hyperspectral data unmixing. ICASSP 2015: 1637-1641 - [c84]Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard:
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces. ICASSP 2015: 2001-2005 - [c83]Wei Gao, Jie Chen, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang:
Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary. ICASSP 2015: 2006-2010 - [c82]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask diffusion LMS with sparsity-based regularization. ICASSP 2015: 3516-3520 - [c81]Rita Ammanouil, André Ferrari, Cédric Richard:
Hyperspectral data unmixing with graph-based regularization. WHISPERS 2015: 1-4 - [i15]Abderrahim Halimi, Paul Honeine, Malika Kharouf, Cédric Richard, Jean-Yves Tourneret:
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach. CoRR abs/1501.05552 (2015) - [i14]Tales Imbiriba, José C. M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images. CoRR abs/1503.02090 (2015) - [i13]Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard, Jean-Yves Tourneret:
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images. CoRR abs/1503.05521 (2015) - [i12]André Ferrari, David Mary, Rémi Flamary, Cédric Richard:
Distributed image reconstruction for very large arrays in radio astronomy. CoRR abs/1507.00501 (2015) - [i11]Jingen Ni, Jian Yang, Jie Chen, Cédric Richard, José Carlos M. Bermudez:
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning. CoRR abs/1508.05873 (2015) - [i10]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization. CoRR abs/1509.01360 (2015) - 2014
- [j45]Jihad Hamie, Benoît Denis, Cédric Richard:
Decentralized Positioning Algorithm for Relative Nodes Localization in Wireless Body Area Networks. Mob. Networks Appl. 19(6): 698-706 (2014) - [j44]Jie Chen, José Carlos M. Bermudez, Cédric Richard:
Steady-State Performance of Non-Negative Least-Mean-Square Algorithm and Its Variants. IEEE Signal Process. Lett. 21(8): 928-932 (2014) - [j43]Nicolas Dobigeon, Jean-Yves Tourneret, Cédric Richard, José C. M. Bermudez, Steve McLaughlin, Alfred O. Hero III:
Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms. IEEE Signal Process. Mag. 31(1): 82-94 (2014) - [j42]Jie Chen, Cédric Richard, Paul Honeine:
Nonlinear Estimation of Material Abundances in Hyperspectral Images With ℓ1-Norm Spatial Regularization. IEEE Trans. Geosci. Remote. Sens. 52(5): 2654-2665 (2014) - [j41]Rita Ammanouil, André Ferrari, Cédric Richard, David Mary:
Blind and Fully Constrained Unmixing of Hyperspectral Images. IEEE Trans. Image Process. 23(12): 5510-5518 (2014) - [j40]Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang:
Online Dictionary Learning for Kernel LMS. IEEE Trans. Signal Process. 62(11): 2765-2777 (2014) - [j39]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Variants of Non-Negative Least-Mean-Square Algorithm and Convergence Analysis. IEEE Trans. Signal Process. 62(15): 3990-4005 (2014) - [j38]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask Diffusion Adaptation Over Networks. IEEE Trans. Signal Process. 62(16): 4129-4144 (2014) - [c80]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Performance analysis of multitask diffusion adaptation over asynchronous networks. ACSSC 2014: 788-792 - [c79]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS for clustered multitask networks. ICASSP 2014: 5487-5491 - [c78]Jie Chen, Wei Gao, Cédric Richard, José Carlos M. Bermudez:
Convergence analysis of kernel LMS algorithm with pre-tuned dictionary. ICASSP 2014: 7243-7247 - [c77]Tales Imbiriba, José C. M. Bermudez, Jean-Yves Tourneret, Cédric Richard:
Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging. ICASSP 2014: 7949-7953 - [c76]Jie Chen, Cédric Richard, Alfred O. Hero III:
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization. ICASSP 2014: 7954-7958 - [c75]André Ferrari, David Mary, Rémi Flamary, Cédric Richard:
Distributed image reconstruction for very large arrays in radio astronomy. SAM 2014: 389-392 - [c74]Jie Chen, Cédric Richard, Alfred O. Hero III, Ali H. Sayed:
Diffusion LMS for multitask problems with overlapping hypothesis subspaces. MLSP 2014: 1-6 - [c73]Wei Gao, Cédric Richard, José Carlos M. Bermudez, Jianguo Huang:
Convex combinations of kernel adaptive filters. MLSP 2014: 1-5 - [c72]Rita Ammanouil, André Ferrari, Cédric Richard, David Mary:
GLUP: Yet another algorithm for blind unmixing of hyperspectral data. WHISPERS 2014: 1-4 - [i9]Jie Chen, José Carlos M. Bermudez, Cédric Richard:
Steady-state performance of non-negative least-mean-square algorithm and its variants. CoRR abs/1401.6376 (2014) - [i8]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS over Multitask Networks. CoRR abs/1404.6813 (2014) - [i7]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:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - [i6]Masa-aki Takizawa, Masahiro Yukawa, Cédric Richard:
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces. CoRR abs/1410.3595 (2014) - [i5]Rita Ammanouil, André Ferrari, Cédric Richard:
A graph Laplacian regularization for hyperspectral data unmixing. CoRR abs/1410.3699 (2014) - [i4]Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Multitask diffusion adaptation over asynchronous networks. CoRR abs/1412.1798 (2014) - 2013
- [j37]Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud:
Non-negativity constraints on the pre-image for pattern recognition with kernel machines. Pattern Recognit. 46(11): 3066-3080 (2013) - [j36]Paul Honeine, Zineb Noumir, Cédric Richard:
Multiclass classification machines with the complexity of a single binary classifier. Signal Process. 93(5): 1013-1026 (2013) - [j35]Paul Honeine, Cédric Richard, Nguyen Hoang Nguyen:
Approches géométriques pour l'estimation des fractions d'abondance en traitement de données hyperspectrales. Extensions aux modèles de mélange non linéaires. Traitement du Signal 30(1-2): 61-86 (2013) - [j34]Jie Chen, Cédric Richard, Paul Honeine:
Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model. IEEE Trans. Signal Process. 61(2): 480-492 (2013) - [c71]Pierre Chainais, Cédric Richard:
Learning a common dictionary over a sensor network. CAMSAP 2013: 133-136 - [c70]Jie Chen, Cédric Richard:
Performance analysis of diffusion LMS in multitask networks. CAMSAP 2013: 137-140 - [c69]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Non-stationary analysis of the convergence of the Non-Negative Least-Mean-Square algorithm. EUSIPCO 2013: 1-5 - [c68]Paul Honeine, Henri Lantéri, Cédric Richard:
Constrained Kaczmarz's cyclic projections for unmixing hyperspectral data. EUSIPCO 2013: 1-5 - [c67]Jie Chen, Cédric Richard, André Ferrari, Paul Honeine:
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. ICASSP 2013: 2174-2178 - [c66]Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang, Rémi Flamary:
Kernel LMS algorithm with forward-backward splitting for dictionary learning. ICASSP 2013: 5735-5739 - [c65]Jie Chen, Cédric Richard, Paul Honeine:
Estimating abundance fractions of materials in hyperspectral images by fitting a post-nonlinear mixing model. WHISPERS 2013: 1-4 - [c64]Jihad Hamie, Benoît Denis, Cédric Richard:
Joint motion capture and navigation in heterogeneous Body Area Networks with distance estimation over neighborhood graph. WPNC 2013: 1-6 - [i3]Pierre Chainais, Cédric Richard:
Distributed dictionary learning over a sensor network. CoRR abs/1304.3568 (2013) - [i2]Jie Chen, Cédric Richard, Ali H. Sayed:
Diffusion LMS for clustered multitask networks. CoRR abs/1310.8615 (2013) - [i1]Jie Chen, Cédric Richard, Ali H. Sayed:
Multitask Diffusion Adaptation over Networks. CoRR abs/1311.4894 (2013) - 2012
- [j33]Farah Mourad, Hichem Snoussi, Michel Kieffer, Cédric Richard:
Robust Interval-Based Localization Algorithms for Mobile Sensor Networks. Int. J. Distributed Sens. Networks 8 (2012) - [j32]Paul Honeine, Cédric Richard:
Geometric Unmixing of Large Hyperspectral Images: A Barycentric Coordinate Approach. IEEE Trans. Geosci. Remote. Sens. 50(6): 2185-2195 (2012) - [j31]Farah Mourad, Hicham Chehade, Hichem Snoussi, Farouk Yalaoui, Lionel Amodeo, Cédric Richard:
Controlled Mobility Sensor Networks for Target Tracking Using Ant Colony Optimization. IEEE Trans. Mob. Comput. 11(8): 1261-1273 (2012) - [j30]Wemerson Delcio Parreira, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Stochastic Behavior Analysis of the Gaussian Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 60(5): 2208-2222 (2012) - [j29]Jing Teng, Hichem Snoussi, Cédric Richard, Rong Zhou:
Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks. IEEE Trans. Veh. Technol. 61(5): 2305-2318 (2012) - [j28]Jing Teng, Hichem Snoussi, Cédric Richard:
Prediction-based cluster management for target tracking in wireless sensor networks. Wirel. Commun. Mob. Comput. 12(9): 797-812 (2012) - [c63]Cédric Richard:
Session WA3a: Adaptive signal processing. ACSCC 2012: 1784-1786 - [c62]Cédric Richard, José Carlos M. Bermudez:
Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm. ACSCC 2012: 1797-1801 - [c61]Andrea Abelli, André Ferrari, Salvatore Monaco, Cédric Richard:
Adaptive inverse control using kernel identification. ACC 2012: 202-207 - [c60]Jihad Hamie, Benoît Denis, Cédric Richard:
Nodes updates censoring and scheduling in constrained decentralized positioning for large-scale motion capture based on wireless body area networks. BODYNETS 2012: 100-105 - [c59]Jihad Hamie, Benoît Denis, Raffaele D'Errico, Cédric Richard:
Empirical modeling of intra-BAN ranging errors based on IR-UWB TOA estimation. BODYNETS 2012: 139-144 - [c58]Zineb Noumir, Paul Honeine, Cédric Richard:
Online one-class machines based on the coherence criterion. EUSIPCO 2012: 664-668 - [c57]Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud:
Prediction of time series using Yule-Walker equations with kernels. ICASSP 2012: 2185-2188 - [c56]Pierre-Olivier Amblard, Olivier J. J. Michel, Cédric Richard, Paul Honeine:
A Gaussian process regression approach for testing Granger causality between time series data. ICASSP 2012: 3357-3360 - [c55]Maya Kallas, Clovis Francis, Paul Honeine, Hassan Amoud, Cédric Richard:
Modeling electrocardiogram using Yule-Walker equations and kernel machines. ICT 2012: 1-5 - [c54]Jie Chen, Cédric Richard, Paul Honeine, Jean-Yves Tourneret:
Prediction of rain attenuation series based on discretized spectral model. IGARSS 2012: 2407-2410 - [c53]Nguyen Hoang Nguyen, Cédric Richard, Paul Honeine, Céline Theys:
Hyperspectral image unmixing using manifold learning methods derivations and comparative tests. IGARSS 2012: 3086-3089 - [c52]Pierre-Olivier Amblard, Rémy Vincent, Olivier J. J. Michel, Cédric Richard:
Kernelizing Geweke's measures of granger causality. MLSP 2012: 1-6 - [c51]Zineb Noumir, Paul Honeine, Cédric Richard:
Kernels for time series of exponential decay/growth processes. MLSP 2012: 1-6 - [c50]Zineb Noumir, Paul Honeine, Cédric Richard:
One-class machines based on the coherence criterion. SSP 2012: 600-603 - [c49]Chafic Saidé, Régis Lengellé, Paul Honeine, Cédric Richard, Roger Achkar:
Dictionary adaptation for online prediction of time series data with kernels. SSP 2012: 604-607 - [c48]Jie Chen, Cédric Richard, Paul Honeine:
Nonlinear unmixing of hyperspectral images based on multi-kernel learning. WHISPERS 2012: 1-4 - 2011
- [j27]Majdi Mansouri, Hichem Snoussi, Cédric Richard:
Channel estimation and multiple target tracking in wireless sensor networks based on quantised proximity sensors. IET Wirel. Sens. Syst. 1(1): 7-14 (2011) - [j26]Jing Teng, Hichem Snoussi, Cédric Richard:
Collaborative multi-target tracking in wireless sensor networks. Int. J. Syst. Sci. 42(9): 1427-1443 (2011) - [j25]Hicham Laanaya, Fahed Abdallah, Hichem Snoussi, Cédric Richard:
Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold. Pattern Recognit. Lett. 32(13): 1511-1515 (2011) - [j24]Paul Honeine, Cédric Richard:
Preimage Problem in Kernel-Based Machine Learning. IEEE Signal Process. Mag. 28(2): 77-88 (2011) - [j23]Farah Mourad, Hichem Snoussi, Cédric Richard:
Interval-Based Localization using RSSI Comparison in MANETs. IEEE Trans. Aerosp. Electron. Syst. 47(4): 2897-2910 (2011) - [j22]Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo:
Stationnarité relative et approches connexes. Traitement du Signal 28(6): 691-716 (2011) - [j21]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Nonnegative Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 59(11): 5225-5235 (2011) - [j20]Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard:
A Robust Localization Algorithm for Mobile Sensors Using Belief Functions. IEEE Trans. Veh. Technol. 60(4): 1799-1811 (2011) - [j19]Paul Honeine, Cédric Richard:
A Closed-form Solution for the Pre-image Problem in Kernel-based Machines. J. Signal Process. Syst. 65(3): 289-299 (2011) - [j18]Majdi Mansouri, Ilham Ouachani, Hichem Snoussi, Cédric Richard:
Adaptive quantized target tracking in wireless sensor networks. Wirel. Networks 17(7): 1625-1639 (2011) - [c47]Jie Chen, Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
A modified non-negative LMS algorithm and its stochastic behavior analysis. ACSCC 2011: 542-546 - [c46]Jie Chen, Cédric Richard, Paul Honeine:
A novel kernel-based nonlinear unmixing scheme of hyperspectral images. ACSCC 2011: 1898-1902 - [c45]Sébastien Lecomte, Régis Lengellé, Cédric Richard, François Capman, Bertrand Ravera:
Abnormal events detection using unsupervised One-Class SVM - Application to audio surveillance and evaluation -. AVSS 2011: 124-129 - [c44]Henri Lantéri, Céline Theys, Cédric Richard:
Nonnegative matrix factorization with regularization and sparsity-enforcing terms. CAMSAP 2011: 97-100 - [c43]Wemerson Delcio Parreira, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Steady-state behavior and design of the Gaussian KLMS algorithm. EUSIPCO 2011: 121-125 - [c42]Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud:
Non-negative pre-image in machine learning for pattern recognition. EUSIPCO 2011: 931-935 - [c41]Jie Chen, Cédric Richard, Henri Lantéri, Céline Theys, Paul Honeine:
Online system identification under non-negativity and ℓ1-norm constraints algorithm and weight behavior analysis. EUSIPCO 2011: 1919-1923 - [c40]Henri Lantéri, Céline Theys, Cédric Richard, David Mary:
Regularized split gradient method for nonnegative matrix factorization. ICASSP 2011: 1133-1136 - [c39]Pierre Borgnat, Patrick Flandrin, André Ferrari, Cédric Richard:
Transitional surrogates. ICASSP 2011: 3600-3603 - [c38]Wemerson Delcio Parreira, José Carlos M. Bermudez, Cédric Richard, Jean-Yves Tourneret:
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm. ICASSP 2011: 4116-4119 - [c37]Majdi Mansouri, Lyes Khoukhi, Hichem Snoussi, Cédric Richard:
Quantized variational filtering for target tracking and relay localization in sensor networks. IWCMC 2011: 1837-1842 - [c36]Farah Mourad, Hichem Snoussi, Cédric Richard:
Interval-based localization for mobile sensors in low-anchors density networks. IWCMC 2011: 1843-1848 - [c35]Majdi Mansouri, Hichem Snoussi, Cédric Richard:
Optimal path selection for quantized target tracking in distributed sensor networks. IWCMC 2011: 1849-1853 - 2010
- [j17]Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Jie Chen, Hichem Snoussi:
A Decentralized Approach for Nonlinear Prediction of Time Series Data in Sensor Networks. EURASIP J. Wirel. Commun. Netw. 2010 (2010) - [j16]Jing Teng, Hichem Snoussi, Cédric Richard:
Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks. IEEE Trans. Mob. Comput. 9(10): 1465-1477 (2010) - [j15]Pierre Borgnat, Patrick Flandrin, Paul Honeine, Cédric Richard, Jun Xiao:
Testing stationarity with surrogates: a time-frequency approach. IEEE Trans. Signal Process. 58(7): 3459-3470 (2010) - [c34]Henri Lantéri, Céline Theys, Cédric Richard, Cédric Févotte:
Split gradient method for nonnegative matrix factorization. EUSIPCO 2010: 1199-1203 - [c33]Jie Chen, Cédric Richard, Paul Honeine, Henri Lantéri, Céline Theys:
System identification under non-negativity constraints. EUSIPCO 2010: 1728-1732 - [c32]Majdi Mansouri, Hichem Snoussi, Cédric Richard:
Joint Multiple Target Tracking and Channel Estimation in Wireless Sensor Networks. GLOBECOM 2010: 1-5 - [c31]Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat:
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. ICASSP 2010: 3666-3669 - [c30]Paul Honeine, Cédric Richard:
A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex. IGARSS 2010: 2271-2274 - [c29]Majdi Mansouri, Hichem Snoussi, Cédric Richard:
A Sensor Selection Method for Target Tracking in Wireless Sensor Networks Using Quantized Variational Filtering. VTC Fall 2010: 1-5 - [c28]Paul Honeine, Cédric Richard:
The angular kernel in machine learning for hyperspectral data classification. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j14]Cédric Richard, José Carlos M. Bermudez, Paul Honeine:
Online Prediction of Time Series Data With Kernels. IEEE Trans. Signal Process. 57(3): 1058-1067 (2009) - [j13]Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard:
Anchor-based localization via interval analysis for mobile ad-hoc sensor networks. IEEE Trans. Signal Process. 57(8): 3226-3239 (2009) - [c27]Jing Teng, Hichem Snoussi, Cédric Richard:
Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks. ICASSP 2009: 2233-2236 - [c26]Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djuric, Cédric Richard:
Data-driven online variational filtering in wireless sensor networks. ICASSP 2009: 2413-2416 - [c25]Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Hichem Snoussi, Mehdi Essoloh, François Vincent:
Functional estimation in Hilbert space for distributed learning in wireless sensor networks. ICASSP 2009: 2861-2864 - 2008
- [j12]François Vincent, Olivier Besson, Cédric Richard:
Matched Subspace Detection With Hypothesis Dependent Noise Power. IEEE Trans. Signal Process. 56(11): 5713-5718 (2008) - [c24]Paul Honeine, Cédric Richard, José Carlos M. Bermudez, Hichem Snoussi:
Distributed prediction of time series data with kernels and adaptive filtering techniques in sensor networks. ACSCC 2008: 246-250 - [c23]Mehdi Essoloh, Cédric Richard, Hichem Snoussi, Paul Honeine:
Distributed localization in wireless sensor networks as a pre-image problem in a Reproducing Kernel Hilbert Space. EUSIPCO 2008: 1-5 - [c22]Jing Teng, Hichem Snoussi, Cédric Richard:
Variational Filtering algorithm for interdependent target tracking and sensor localization in wireless sensor network. EUSIPCO 2008: 1-5 - [c21]Paul Honeine, Mehdi Essoloh, Cédric Richard, Hichem Snoussi:
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model. GLOBECOM 2008: 112-116 - [c20]Farah Mourad, Hichem Snoussi, Fahed Abdallah, Cédric Richard:
Guaranteed Boxed Localization in MANETs by Interval Analysis and Constraints Propagation Techniques. GLOBECOM 2008: 415-419 - [c19]Jean-Baptiste Pothin, Cédric Richard:
Optimizing kernel alignment by data translation in feature space. ICASSP 2008: 3345-3348 - 2007
- [j11]Hichem Snoussi, Cédric Richard:
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks. Int. J. Sens. Networks 2(1/2): 118-127 (2007) - [j10]Paul Honeine, Cédric Richard, Patrick Flandrin:
Time-Frequency Learning Machines. IEEE Trans. Signal Process. 55(7-2): 3930-3936 (2007) - [c18]Jean-Baptiste Pothin, Cédric Richard:
Optimal Feature Representation for Kernel Machines using Kernel-Target Alignment Criterion. ICASSP (3) 2007: 1065-1068 - [c17]Paul Honeine, Cédric Richard, José Carlos M. Bermudez:
On-line Nonlinear Sparse Approximation of Functions. ISIT 2007: 956-960 - [c16]Hichem Snoussi, Cédric Richard:
Information-theoretic node scheduling in collaborative sensor networks. ISSPA 2007: 1-4 - 2006
- [j9]Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet:
Nonlinear Regularized Wiener Filtering With Kernels: Application in Denoising MEG Data Corrupted by ECG. IEEE Trans. Signal Process. 54(12): 4796-4806 (2006) - [c15]Jean-Baptiste Pothin, Cédric Richard:
Incorporating prior information into Support Vector Machines in the form of ellipsoidal knowledge sets. EUSIPCO 2006: 1-4 - [c14]Jean-Baptiste Pothin, Cédric Richard:
A greedy algorithm for optimizing the kernel alignment and the performance of kernel machines. EUSIPCO 2006: 1-4 - [c13]Hichem Snoussi, Cédric Richard:
Distributed Bayesian Fault diagnosis in Collaborative Wireless Sensor Networks. GLOBECOM 2006 - [c12]Paul Honeine, Cédric Richard, Patrick Flandrin, Jean-Baptiste Pothin:
Optimal Selection of Time-Frequency Representations for Signal Classification: a Kernel-Target Alignment Approach. ICASSP (3) 2006: 476-479 - 2005
- [j8]Julien Gosme, Cédric Richard:
Beyond standard classes of generalized joint signal representations of arbitrary variables: Mercer kernel-based representations. IEEE Signal Process. Lett. 12(1): 25-28 (2005) - [j7]Julien Gosme, Cédric Richard, Paulo Gonçalves:
Adaptive diffusion as a versatile tool for time-frequency and time-scale representations processing: a review. IEEE Trans. Signal Process. 53(11): 4136-4146 (2005) - [c11]Ibtissam Constantin, Cédric Richard, Régis Lengellé, Laurent Soufflet:
Regularized kernel-based Wiener filtering. Application to magnetoencephalographic signals denoising. ICASSP (4) 2005: 289-292 - 2004
- [j6]Fahed Abdallah, Cédric Richard, Régis Lengellé:
An improved training algorithm for nonlinear kernel discriminants. IEEE Trans. Signal Process. 52(10): 2798-2806 (2004) - [c10]Julien Gosme, Cédric Richard, Paulo Gonçalves:
Anisotropic diffusion equations for adaptive quadratic representations. EUSIPCO 2004: 1569-1572 - [c9]Fahed Abdallah, Cédric Richard, Régis Lengellé:
A sequential approach for multi-class discriminant analysis with kernels. ICASSP (5) 2004: 453-456 - [c8]Julien Gosme, Cédric Richard, Paulo Gonçalves:
Diffusion equations for adaptive affine distributions. ICASSP (2) 2004: 629-632 - 2003
- [c7]Fahed Abdallah, Cédric Richard, Régis Lengellé:
Kernel second-order discriminants versus support vector machines. ICASSP (6) 2003: 149-152 - 2002
- [j5]Cédric Richard, Régis Lengellé, Fahed Abdallah:
Bayes-optimal detectors design using relevant second-order criteria. IEEE Signal Process. Lett. 9(1): 32-33 (2002) - [j4]Cédric Richard:
Time-frequency-based detection using discrete-time discrete-frequency Wigner distributions. IEEE Trans. Signal Process. 50(9): 2170-2176 (2002) - [c6]Fahed Abdallah, Cédric Richard, Régis Lengellé:
On equivalence between detectors obtained from second-order measures of performance. EUSIPCO 2002: 1-4 - [c5]Julien Gosme, Paulo Gonçalves, Cédric Richard, Régis Lengellé:
Adaptive diffusion and discriminant analysis for complexity control of time-frequency detectors. EUSIPCO 2002: 1-4 - [c4]Arnaud Coatanhay, Cédric Richard, Luc Staner:
Classification en temps-fréquence à partir de données expertisées - Application à la détection des complexes-K. EGC 2002: 293-304 - 2001
- [j3]Cédric Richard:
Linear redundancy of information carried by the discrete Wigner distribution. IEEE Trans. Signal Process. 49(11): 2536-2544 (2001) - [c3]Dominique Barchiesi, Cédric Richard:
Time-frequency analysis of near-field optical data for extracting local attributes. ICASSP 2001: 3565-3568 - 2000
- [c2]Cédric Richard, Régis Lengellé:
On the linear relations connecting the components of the discrete Wigner distribution in the case of real-valued signals. ICASSP 2000: 85-88
1990 – 1999
- 1999
- [j2]Cédric Richard, Régis Lengellé:
Data-driven design and complexity control of time-frequency detectors. Signal Process. 77(1): 37-48 (1999) - 1998
- [c1]Cédric Richard, Régis Lengellé:
Structural risk minimization for reduced-bias time-frequency-based detectors design. ICASSP 1998: 2397-2400 - 1997
- [j1]Cédric Richard, Régis Lengellé:
Joint recursive implementation of time - frequency representations and their modified version by the reassignment method. Signal Process. 60(2): 163-179 (1997)
Coauthor Index
Ricardo Augusto Borsoi
aka: R. A. Borsoi
aka: R. A. Borsoi
[j94] [j93] [j92] [c142] [j89] [j88] [j87] [j84] [c138] [c136] [c134] [c133] [i32] [j81] [j80] [c132] [c129] [c128] [c127] [i31] [i30] [j75] [j72] [j69] [j68] [j67] [c123] [c121] [c119] [c117] [i28] [i27] [j65] [j63] [c114] [j61] [c108] [c107] [j59] [c103] [c100] [i23] [i22] [j55] [j54] [j53] [c92] [c91] [c90] [i17] [j46] [c88] [c87] [c83] [i11] [j44] [j42] [j40] [j39] [j38] [c79] [c78] [c76] [c74] [i9] [i8] [j34] [c70] [c69] [c67] [c66] [c65] [i2] [i1] [c54] [c48] [j21] [c47] [c46] [c41] [j17] [c33]
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last updated on 2024-12-02 22:32 CET by the dblp team
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