Lőrincz, A;
Szabo, Z;
(2007)
Neurally Plausible, Non-combinatorial Iterative Independent Process Analysis.
Neurocomputing - Letters
, 70
(7-9)
1569 - 1573.
10.1016/j.neucom.2006.10.145.
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Abstract
It has been shown recently that the identification of mixed hidden independent auto-regressive processes (independent process analysis, IPA), under certain conditions, can be free from combinatorial explosion. The key is that IPA can be reduced (i) to independent subspace analysis and then, via a novel decomposition technique called Separation Theorem, (ii) to independent component analysis. Here, we introduce an iterative scheme and its neural network representation that takes advantage of the reduction method and can accomplish the IPA task. Computer simulation illustrates the working of the algorithm.
| Type: | Article |
|---|---|
| Title: | Neurally Plausible, Non-combinatorial Iterative Independent Process Analysis |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neucom.2006.10.145 |
| Publisher version: | http://dx.doi.org/10.1016/j.neucom.2006.10.145 |
| Language: | English |
| Additional information: | NOTICE: this is the author’s version of a work that was accepted for publication in <Journal title>. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Neurocomputing Volume 70, Issues 7–9, March 2007, 1569–1573, 10.1016/j.neucom.2006.10.145 |
| Keywords: | independent process analysis, neural network implementation |
| UCL classification: | UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1433232 |
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