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FastGeo - A Histogram Based Approach to Linear Geometric ICA

Jung, Andreas and Theis, Fabian J. and Puntonet, Carlos G. and Lang, Elmar W. (2001) FastGeo - A Histogram Based Approach to Linear Geometric ICA. In: Lee, Te-Won, (ed.) 3rd International Conference on Independent Component Analysis and Signal Separation (ICA 2001) : San Diego, California, December 9 - 13, 2001. Proceedings. UNSPECIFIED, pp. 349-354.

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Other URL: http://www.physik.uni-regensburg.de/forschung/richter/richter/media/research/publications2001/Jung_FastGeo_2001.pdf


Abstract

Guided by the principles of neural geometric ICA, we present a new approach to linear geometric ICA based on histograms rather than basis vectors. Considering that the learning process converges to the medians and not the maxima of the underlying distributions restricted to the receptive fields of the corresponding neurons, we observe a considerable improvement in separation quality of different ...

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Item Type:Book Section
Date:2001
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Physics > Institute of Theroretical Physics > Chair Professor Richter > Group Klaus Richter
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Subjects:500 Science > 530 Physics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Timo Hartmann
Deposited On:20 Mar 2007
Last Modified:01 Oct 2010 06:47
Item ID:1506
Owner Only: item control page
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