Stebėti
Jean-Christophe Pesquet
Jean-Christophe Pesquet
Distinguished Professor at CentraleSupélec, Université Paris-Saclay
Patvirtintas el. paštas centralesupelec.fr - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Proximal splitting methods in signal processing
PL Combettes, JC Pesquet
Fixed-point algorithms for inverse problems in science and engineering, 185-212, 2011
31252011
A Douglas–Rachford splitting approach to nonsmooth convex variational signal recovery
PL Combettes, JC Pesquet
IEEE Journal of Selected Topics in Signal Processing 1 (4), 564-574, 2007
6042007
Time-invariant orthonormal wavelet representations
JC Pesquet, H Krim, H Carfantan
IEEE transactions on signal processing 44 (8), 1964-1970, 1996
6011996
Playing with duality: An overview of recent primal? dual approaches for solving large-scale optimization problems
N Komodakis, JC Pesquet
IEEE Signal Processing Magazine 32 (6), 31-54, 2015
4762015
Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators
PL Combettes, JC Pesquet
Set-Valued and variational analysis 20 (2), 307-330, 2012
4632012
A proximal decomposition method for solving convex variational inverse problems
PL Combettes, JC Pesquet
Inverse problems 24 (6), 065014, 2008
3392008
A variational formulation for frame-based inverse problems
C Chaux, PL Combettes, JC Pesquet, VR Wajs
Inverse Problems 23 (4), 1495, 2007
3152007
Image restoration subject to a total variation constraint
PL Combettes, JC Pesquet
IEEE transactions on image processing 13 (9), 1213-1222, 2004
2732004
Variable metric forward–backward algorithm for minimizing the sum of a differentiable function and a convex function
E Chouzenoux, JC Pesquet, A Repetti
Journal of Optimization Theory and Applications 162 (1), 107-132, 2014
2652014
Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping
PL Combettes, JC Pesquet
SIAM Journal on Optimization 25 (2), 1221-1248, 2015
2512015
Proximal thresholding algorithm for minimization over orthonormal bases
PL Combettes, JC Pesquet
SIAM Journal on Optimization 18 (4), 1351-1376, 2008
2502008
A block coordinate variable metric forward–backward algorithm
E Chouzenoux, JC Pesquet, A Repetti
Journal of Global Optimization 66 (3), 457-485, 2016
2262016
Long-range dependence and heavy-tail modeling for teletraffic data
O Cappé, E Moulines, JC Pesquet, AP Petropulu, X Yang
IEEE signal processing magazine 19 (3), 14-27, 2002
2032002
Parallel proximal algorithm for image restoration using hybrid regularization
N Pustelnik, C Chaux, JC Pesquet
IEEE transactions on Image Processing 20 (9), 2450-2462, 2011
1892011
Image analysis using a dual-tree M-band wavelet transform
C Chaux, L Duval, JC Pesquet
IEEE Transactions on Image Processing 15 (8), 2397-2412, 2006
1792006
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ...
Nature communications 12 (1), 1-11, 2021
1772021
A survey of stochastic simulation and optimization methods in signal processing
M Pereyra, P Schniter, E Chouzenoux, JC Pesquet, JY Tourneret, ...
IEEE Journal of Selected Topics in Signal Processing 10 (2), 224-241, 2015
1692015
A Majorize-Minimize Subspace Approach for Image Regularization
E Chouzenoux, A Jezierska, JC Pesquet, H Talbot
SIAM Journal on Imaging Sciences 6 (1), 563-591, 2013
1572013
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed Regularization
A Repetti, MQ Pham, L Duval, E Chouzenoux, JC Pesquet
IEEE signal processing letters 22 (5), 539-543, 2014
1562014
A parallel inertial proximal optimization method
JC Pesquet, N Pustelnik
Pacific Journal of Optimization 8 (2), 273-305, 2012
1442012
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Straipsniai 1–20