Linear Independent Component Analysis via Optimal Transport

By Ashutosh Jha · Paper · cs.LG

Linear Independent Component Analysis (ICA) recovers jointly independent source signals from their linear mixtures. To achieve this, classical ICA algorithms attempt to maximize non-Gaussianity, measured by negentropy, which is linked to independence by information theory. Becaus

Cs.lg

View original

HomeResourceLoading…