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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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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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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Item ID:16856
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