709 citations · 4k across the 65 of their papers we have counts for
4 papers · 1 filter
High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Efficient sampling from a high-dimensional Gaussian distribution is an old but high-stake issue. Vanilla Cholesky samplers imply a computational cost and memory requirements which…
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodelling Effects
Abderrahim Halimi, Jose Bioucas-Dias, Nicolas Dobigeon +2
This paper presents two novel hyperspectral mixture models and associated unmixing algorithms. The two models assume a linear mixing model corrupted by an additive term whose expre…
Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithm
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia +1
This paper addresses the problem of estimating the Potts parameter B jointly with the unknown parameters of a Bayesian model within a Markov chain Monte Carlo (MCMC) algorithm. Sta…
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia +1
This report considers the problem of computing the Cramer-Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of i…