Optimizing ICA Using Prior Information

Giancarlo Valente, Giuseppe Filosa, Federico De Martino, Elia Formisano, Marco Balsi



In this work we introduce a novel algorithm for Independent Component Analysis (ICA) that takes available prior information on the sources into account. This prior information is included in the form of a “weak” constraint and is exploited simultaneously with independence in order to separate the sources. Optimization is performed by means of Simulated Annealing. We show how it outperforms classical ICA algorithms in the case of low SNR. Moreover, additional prior information on the sources enforces the ordering of the components according to their significance.


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Paper Citation

in Harvard Style

Valente G., Filosa G., De Martino F., Formisano E. and Balsi M. (2005). Optimizing ICA Using Prior Information . In Proceedings of the 1st International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2005) ISBN 972-8865-35-X, pages 27-34. DOI: 10.5220/0001195800270034

in Bibtex Style

author={Giancarlo Valente and Giuseppe Filosa and Federico De Martino and Elia Formisano and Marco Balsi},
title={Optimizing ICA Using Prior Information},
booktitle={Proceedings of the 1st International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2005)},

in EndNote Style

JO - Proceedings of the 1st International Workshop on Biosignal Processing and Classification - Volume 1: BPC, (ICINCO 2005)
TI - Optimizing ICA Using Prior Information
SN - 972-8865-35-X
AU - Valente G.
AU - Filosa G.
AU - De Martino F.
AU - Formisano E.
AU - Balsi M.
PY - 2005
SP - 27
EP - 34
DO - 10.5220/0001195800270034