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Hierarchical Extraction of Independent Subspaces of Unknown Dimensions

Gruber, Peter and Gutch, Harold W. and Theis, Fabian J. (2009) Hierarchical Extraction of Independent Subspaces of Unknown Dimensions. In: Adali, T., (ed.) Independent component analysis and signal separation, ICA 2009, Paraty, Brazil, March 15 - 18, 2009; proceedings. Lecture notes in computer science, 5441. Springer, Berlin, pp. 259-266. ISBN 978-3-642-00598-5 (print), 978-3-642-00599-2 (e-book).

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Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of its components mutually independent. A recently proposed fixed-point algorithm is able to locally perform ISA if the sizes of the subspaces are known, however global convergence is a serious problem as the proposed cost function ...


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Item Type:Book Section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Deposited On:01 Oct 2010 08:11
Last Modified:01 Oct 2010 08:11
Item ID:16866
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