421 citations · 2.4k across the 51 of their papers we have counts for
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Tech Report: A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing
Ricardo Augusto Borsoi, Tales Imbiriba, José Carlos Moreira Bermudez +1
Sparse hyperspectral unmixing from large spectral libraries has been considered to circumvent limitations of endmember extraction algorithms in many applications. This strategy oft…
On reducing the communication cost of the diffusion LMS algorithm
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
The rise of digital and mobile communications has recently made the world more connected and networked, resulting in an unprecedented volume of data flowing between sources, data c…
Decentralized Online Learning with Kernels
Alec Koppel, Santiago Paternain, Cedric Richard +1
We consider multi-agent stochastic optimization problems over reproducing kernel Hilbert spaces (RKHS). In this setting, a network of interconnected agents aims to learn decision f…
Distributed Deblurring of Large Images of Wide Field-Of-View
Rahul Mourya, André Ferrari, Rémi Flamary +2
Image deblurring is an economic way to reduce certain degradations (blur and noise) in acquired images. Thus, it has become essential tool in high resolution imaging in many applic…
Adaptation and learning over networks for nonlinear system modeling
Simone Scardapane, Jie Chen, Cédric Richard
In this chapter, we analyze nonlinear filtering problems in distributed environments, e.g., sensor networks or peer-to-peer protocols. In these scenarios, the agents in the environ…
Multitask diffusion adaptation over networks with common latent representations
Jie Chen, Cédric Richard, Ali H. Sayed
Online learning with streaming data in a distributed and collaborative manner can be useful in a wide range of applications. This topic has been receiving considerable attention in…