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).
Full text not available from this repository.
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 ...
Export bibliographical data
|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|
|Deposited on:||01 Oct 2010 08:11|
|Last modified:||01 Oct 2010 08:11|