J
Jean-Christophe Pesquet
Researcher at Université Paris-Saclay
Publications - 387
Citations - 14714
Jean-Christophe Pesquet is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Convex optimization & Wavelet. The author has an hindex of 50, co-authored 364 publications receiving 13264 citations. Previous affiliations of Jean-Christophe Pesquet include University of Marne-la-Vallée & CentraleSupélec.
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General risk measures for robust machine learning
TL;DR: It is shown that the original min-max problem can be recast as a convex minimization problem under suitable assumptions and an efficient algorithm for solving the corresponding convex optimization problems involving complex convex constraints is proposed.
Proceedings ArticleDOI
Reversible and progressive coding of multispectral SPOT images
TL;DR: A nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless and progressive coding of multispectral images and is suitable for telebrowsing applications.
Proceedings ArticleDOI
Estimating first order finite-difference information in image restoration problems
TL;DR: A new statistical framework is proposed in which certain attributes of the finite-difference images are estimated a posteriori from the observed data under the assumption that the noise is additive and Gaussian.
Étude du bruit dans une analyse M-bandes en arbre dual
TL;DR: It is shown that pairwise coefficients, from the primal and the dual-tree resulting from a white noise decomposition, are uncorrelated, yet, there exists a significant local correlation, whose extent depends on the choice of the wavelet pair.
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Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration
TL;DR: In this article, a stochastic version of the forward-backward algorithm for minimizing the sum of two convex functions, one of which is not necessarily smooth, is proposed.