Ensemble Learning and Linear Response Theory for ICA

We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We apply it to both discrete and continuous sources. For the continuous source the underdetermined (overcomplete) case is studied. The naive mean-field approach fails in this case whereas linear response theory

• Type: Conference
• Year: 2000
• Where: NIPS
• Authors: Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen
• Keywords: Continuous Source, Linear Response, NIPS 2000, NIPS 2007, Temporal Correlations