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FastGeo - A Histogram Based Approach to Linear Geometric ICA

Jung, Andreas, Theis, Fabian J., 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. , 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


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
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
Dewey Decimal Classification:500 Science > 530 Physics
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:1506
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