421 citations · 2.4k across the 51 of their papers we have counts for
8 papers · 1 filter
Multitask Diffusion Adaptation over Networks
Jie Chen, Cédric Richard, Ali. H. Sayed
Adaptive networks are suitable for decentralized inference tasks, e.g., to monitor complex natural phenomena. Recent research works have intensively studied distributed optimizatio…
Convergence analysis of kernel LMS algorithm with pre-tuned dictionary
Jie Chen, Wei Gao, Cédric Richard +1
The kernel least-mean-square (KLMS) algorithm is an appealing tool for online identification of nonlinear systems due to its simplicity and robustness. In addition to choosing a re…
Diffusion LMS for clustered multitask networks
Jie Chen, Cédric Richard, Ali Sayed
Recent research works on distributed adaptive networks have intensively studied the case where the nodes estimate a common parameter vector collaboratively. However, there are many…
Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization
Jie Chen, Cédric Richard, Alfred O. Hero
Incorporating spatial information into hyperspectral unmixing procedures has been shown to have positive effects, due to the inherent spatial-spectral duality in hyperspectral scen…
A normalized scaled gradient method to solve non-negativity and equality constrained linear inverse problem - Application to spectral mixture analysis
Céline Theys, Henri Lantéri, Nicolas Dobigeon +3
This paper addresses the problem of minimizing a convex cost function under non-negativity and equality constraints, with the aim of solving the linear unmixing problem encountered…
Online dictionary learning for kernel LMS. Analysis and forward-backward splitting algorithm
Wei Gao, Jie Chen, Cédric Richard +1
Adaptive filtering algorithms operating in reproducing kernel Hilbert spaces have demonstrated superiority over their linear counterpart for nonlinear system identification. Unfort…