Go to content
UR Home

Nonlinear Geometric ICA

Theis, Fabian J., Puntonet, Carlos G. and Lang, Elmar (2003) Nonlinear Geometric ICA. In: Amari, S., (ed.) Proceedings / Fourth International Symposium on Independent Component Analysis and Blind Signal Separation, April 1 - 4, 2003, Nara, Japan. Tokyo, pp. 275-280. ISBN 4-9901531-1-1.

Full text not available from this repository.

Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/theis03nonlineargeo_ICA03.pdf


We present a new algorithm for nonlinear blind source separation, which is based on the geometry of the mixture space. This space is decomposed in a set of concentric rings, in which we perform ordinary linear ICA after central transformation; we show that this transformation can be left out if we use linear geometric ICA. In any case, we get a set of images of ring points under the original ...


Export bibliographical data

Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
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
Item ID:1576
Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons