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Independent Subspace Analysis Is Unique, Given Irreducibility

Gutch, Harold W. and Theis, Fabian J. (2007) Independent Subspace Analysis Is Unique, Given Irreducibility. In: Davies, Mike E. and James, Christopher J., (eds.) Independent Component Analysis and Signal Separation. 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings. Lecture notes in computer science, 4666. Springer, Berlin, pp. 49-56. ISBN 978-3-540-74493-1 (Printausgabe), 978-3-540-74494-8 (e-book).

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Abstract

Independent Subspace Analysis (ISA) is a generalization of ICA. It tries to find a basis in which a given random vector can be decomposed into groups of mutually independent random vectors. Since the first introduction of ISA, various algorithms to solve this problem have been introduced, however a general proof of the uniqueness of ISA decompositions remained an open question. In this ...

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Export bibliographical data

Item Type:Book Section
Date:2007
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:28 Sep 2010 06:22
Last Modified:28 Sep 2010 06:22
Item ID:16856
Owner Only: item control page
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