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The influence of the number of signals on the clustering aspects of independent component analysis

Keck, I. R. and Lang, Elmar and Nassabay, S. and Puntonet, Carlos G. (2005) The influence of the number of signals on the clustering aspects of independent component analysis. In: 1. Simposio de Inteligencia Computacional SICO, Actas del Simposio de Inteligencia Computacional. Thomson, Madrid, pp. 555-561.

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Abstract

The human visual system uses a statistical approach calles Independent Component Analysis (ICA) to detect objects in the view field. Based on the idea that, give the huge number of objects, this ICA normally should be incomplete, we analyze which influence has the number of sources on the results of the incomplete ICA. We show that an incomplete ICA clusters the underlaying sources based on their ...

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Item Type:Book Section
Date:2005
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:15 Oct 2010 08:38
Last Modified:15 Oct 2010 08:38
Item ID:17329
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