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20072026
most citedA Proximal Decomposition Method for Solving Convex Variational Inverse Problems

208 citations · 1.7k across the 69 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.OC2017★ 27 cited

A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression

Luis M. Briceno-Arias, Giovanni Chierchia, Emilie Chouzenoux +1

In this paper, we propose a new optimization algorithm for sparse logistic regression based on a stochastic version of the Douglas-Rachford splitting method. Our algorithm sweeps t…

cs.CV2017

A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior

Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret +1

This paper presents a fast approach for penalized least squares (LS) regression problems using a 2D Gaussian Markov random field (GMRF) prior. More precisely, the computation of th…

cs.CV2017

Spatially variant PSF modeling in confocal macroscopy

Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet +1

Point spread function (PSF) plays an essential role in image reconstruction. In the context of confocal microscopy, optical performance degrades towards the edge of the field of vi…

math.OC2017

Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations With Random Sweeping II: Mean-Square and Linear Convergence

Patrick L. Combettes, Jean-Christophe Pesquet

Reference [11] investigated the almost sure weak convergence of block-coordinate fixed point algorithms and discussed their applications to nonlinear analysis and optimization. Thi…

physics.data-an2017★ 134 cited

Image Analysis Using a Dual-Tree -Band Wavelet Transform

Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet

We propose a 2D generalization to the -band case of the dual-tree decomposition structure (initially proposed by N. Kingsbury and further investigated by I. Selesnick) based on…