41 citations · 64 across the 5 of their papers we have counts for
3 papers · 1 filter
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
Rogers F. Silva, Sergey M. Plis, Tulay Adali +2
In the last two decades, unsupervised latent variable models---blind source separation (BSS) especially---have enjoyed a strong reputation for the interpretable features they produ…
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…