Go to content
UR Home

Linear Geometric ICA: Fundamentals and Algorithms

DOI to cite this document:
10.5283/epub.1516
Theis, Fabian J. ; Jung, Andreas ; Puntonet, Carlos G. ; Lang, Elmar W.
[img]PDF
(252kB) - Repository staff only
Date of publication of this fulltext: 05 Aug 2009 13:30


Abstract

Geometric algorithms for linear independent component analysis (ICA) have recently received some attention due to their pictorial description and their relative ease of implementation. The geometric approach to ICA was proposed first by Puntonet and Prieto (1995). We will reconsider geometric ICA in a theoretic framework showing that fixed points of geometric ICA fulfill a geometric ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: daten@ur.de
0941 943 -5707

Contact persons