6 citations · 14 across the 27 of their papers we have counts for
4 papers · 1 filter
On the modified Basis Pursuit reconstruction for Compressed Sensing with partially known support
Stephane Chretien
The goal of this short note is to present a refined analysis of the modified Basis Pursuit (-minimization) approach to signal recovery in Compressed Sensing with partially…
Using the Eigenvalue Relaxation for Binary Least-Squares Estimation Problems
Stephane Chretien, Franck Corset
The goal of this paper is to survey the properties of the eigenvalue relaxation for least squares binary problems. This relaxation is a convex program which is obtained as the Lagr…
Estimation of Gaussian mixtures in small sample studies using penalization
Stephane Chretien
Many experiments in medicine and ecology can be conveniently modeled by finite Gaussian mixtures but face the problem of dealing with small data sets. We propose a robust version o…
Space Alternating Penalized Kullback Proximal Point Algorithms for Maximizing Likelihood with Nondifferentiable Penalty
Stéphane Chrétien, Alfred Hero, Hervé Perdry
The EM algorithm is a widely used methodology for penalized likelihood estimation. Provable monotonicity and convergence are the hallmarks of the EM algorithm and these properties…