421 citations · 2.4k across the 51 of their papers we have counts for
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Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization
Roula Nassif, Cédric Richard, André Ferrari +1
In this work, we consider multitask learning problems where clusters of nodes are interested in estimating their own parameter vector. Cooperation among clusters is beneficial when…
Stochastic Behavior of the Nonnegative Least Mean Fourth Algorithm for Stationary Gaussian Inputs and Slow Learning
Jingen Ni, Jian Yang, Jie Chen +2
Some system identification problems impose nonnegativity constraints on the parameters to estimate due to inherent physical characteristics of the unknown system. The nonnegative l…
Distributed image reconstruction for very large arrays in radio astronomy
André Ferrari, David Mary, Rémi Flamary +1
Current and future radio interferometric arrays such as LOFAR and SKA are characterized by a paradox. Their large number of receptors (up to millions) allow theoretically unprecede…
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales Imbiriba, José Carlos Moreira Bermudez, Cédric Richard +1
Mixing phenomena in hyperspectral images depend on a variety of factors such as the resolution of observation devices, the properties of materials, and how these materials interact…
Band selection in RKHS for fast nonlinear unmixing of hyperspectral images
T. Imbiriba, J. C. M. Bermudez, C. Richard +1
The profusion of spectral bands generated by the acquisition process of hyperspectral images generally leads to high computational costs. Such difficulties arise in particular with…
Estimating the Intrinsic Dimension of Hyperspectral Images Using an Eigen-Gap Approach
A. Halimi, P. Honeine, M. Kharouf +2
Linear mixture models are commonly used to represent hyperspectral datacube as a linear combinations of endmember spectra. However, determining of the number of endmembers for imag…