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Fast Kernel-Based Independent Component Analysis

Shen, Hao; Jegelka, Stefanie; Gretton, Arthur


Recent approaches to independent component analysis (ICA) have used kernel independence measures to obtain highly accurate solutions, particularly where classical methods experience difficulty (for instance, sources with near-zero kurtosis). FastKICA (fast HSIC-based kernel ICA) is a new optimization method for one such kernel independence measure, the Hilbert-Schmidt Independence Criterion (HSIC). The high computational efficiency of this approach is achieved by combining geometric...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Journal article
Source: IEEE Transactions on Signal Processing
DOI: 10.1109/TSP.2009.2022857


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