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).

Full text not available from this repository.

Other URL: http://www.springerlink.com/content/rl17454m1135n676/fulltext.pdf

## 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 ...

## 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 |

Deposited On: | 28 Sep 2010 06:22 |

Last Modified: | 28 Sep 2010 06:22 |

Item ID: | 16856 |