Learning with constraints : Geometry and sparsity

Presentation of my post-doc research topics

Block-wise Minimization-Majorization Algorithm for Huber's Criterion: Sparse learning and Applications

Robust Huber MM algorithm and sparse learning.

Riemannian geometry for compound Gaussian distributions: Application to recursive change detection

Riemannian geometry on compound-Gaussian distributions

A Comparative Study of Supervised Learning Algorithms for Symmetric Positive Definite Features

Comparative study SPD machine learning.

Robust Low-rank Change Detection for Multivariate SAR Image Time Series

Low-rank Robust statics for SAR change detection.