Independent subspace analysis can cope with the 'curse of dimensionality'

Szabó, Zoltán and Lőrincz, András: Independent subspace analysis can cope with the 'curse of dimensionality'. Acta cybernetica, (18) 2. pp. 213-221. (2007)

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Abstract

We search for hidden independent components, in particular we consider the independent subspace analysis (ISA) task. Earlier ISA procedures assume that the dimensions of the components are known. Here we show a method that enables the non-combinatorial estimation of the components. We make use of a decomposition principle called the ISA separation theorem. According to this separation theorem the ISA task can be reduced to the independent component analysis (ICA) task that assumes one-dimensional components and then to a grouping procedure that collects the respective non-independent elements into independent groups. We show that non-combinatorial grouping is feasible by means of the non-linear f-correlation matrices between the estimated components.

Item Type: Article
Event Title: Symposium of Young Scientists on Intelligent Systems, 1., 2006, Budapest
Journal or Publication Title: Acta cybernetica
Date: 2007
Volume: 18
Number: 2
Page Range: pp. 213-221
ISSN: 0324-721X
Language: angol
Uncontrolled Keywords: Természettudomány, Informatika
Additional Information: Bibliogr.: p. 219-221.; Abstract
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2018. Jun. 05. 14:12
URI: http://acta.bibl.u-szeged.hu/id/eprint/12812

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