Faster and better sparse blind source separation through mini-batch optimization
Sparse Blind Source Separation (sBSS) plays a key role in scientific domains as different...
Category: Signal Processing
Semi-supervised dictionary learning with graph regularization and active points
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, J-L. Starck Journal: SIAM Journal on Imaging Sciences...
New BSS paper accepted in IEEE TSP
The paper “Sparsity and adaptivity for the blind separation of partially correlated sources” has...
PhD defense of Jérémy Rapin today at CEA Saclay
Title : Sparse decompositions for advanced data analysis of hyperspectral data in biological applications...