5 citations · 5 across the 3 of their papers we have counts for
3 papers
Constrained Independent Vector Analysis with Reference for Multi-Subject fMRI Analysis
Trung Vu, Francisco Laport, Hanlu Yang +2
Independent component analysis (ICA) is now a widely used solution for the analysis of multi-subject functional magnetic resonance imaging (fMRI) data. Independent vector analysis…
Independent Component Analysis by Entropy Maximization with Kernels
Zois Boukouvalas, Rami Mowakeaa, Geng-Shen Fu +1
Independent component analysis (ICA) is the most popular method for blind source separation (BSS) with a diverse set of applications, such as biomedical signal processing, video an…
Enhancing ICA Performance by Exploiting Sparsity: Application to FMRI Analysis
Zois Boukouvalas, Yuri Levin-Schwartz, Tulay Adali
Independent component analysis (ICA) is a powerful method for blind source separation based on the assumption that sources are statistically independent. Though ICA has proven usef…