Keck, I. R. and Nassabay, S. and Puntonet, C. G. and Lang, Elmar (2005) A new approach to clustering and object detection with independent component analysis. Lecture Notes in Computer Science 3562, pp. 558-566.
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It has previously been suggested that the visual cortex performs a data analysis similar to independent component analysis (ICA). Based on this idea we show that an incomplete ICA can be used to efficiently cluster independent components. We apply this algorithm to toy data, fMRI data and a set of natural scenes and show that this approach to clustering offers a wide variety of applications.
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|Institutions:||Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang|
|Projects:||BMBF Projekt ModKog|
|Dewey Decimal Classification:||500 Science > 530 Physics|
500 Science > 570 Life sciences
|Refereed:||Yes, this version has been refereed|
|Created at the University of Regensburg:||Yes|
|Deposited on:||20 Mar 2007|
|Last modified:||14 Oct 2010 11:51|