The EM algorithm is a special case of a more general algorithm called the MM algorithm.
Specific MM algorithms often have nothing to do with missing data. The first M step of an MM …

The use of penalization, or regularization, has become common in high-dimensional
statistical analysis, where an increasingly frequent goal is to simultaneously select important …

La solution des problèmes inverses en traitement du signal et de l'image est souvent définie
comme le minimiseur d'un critère pénalisé qui prend en compte conjointement les …

The use of regularization, or penalization, has become increasingly common in
highdimensional statistical analysis over the past several years, where a common goal is to …

This thesis addresses total variation (TV) image restoration and blind image deconvolution.
Classical image processing problems, such as deblurring, call for some kind of …