Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function
Hao Shen, Stefanie Jegelka, Arthur Gretton · 2006
Since the success of Independent Component Analysis (ICA) for solving the Blind Source Separation (BSS) problem [1, 2], ICA has received considerable attention in numerous areas, such as signal pro-cessing, statistical modeling, and unsupervised learning. The performance of ICA algorithms depends significantly on the choice of the contrast function measuring statistical independence of signals and