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  ICA with Sparse Connections: Revisited

Zhang, K., Peng, H., Chan, L., & Hyvärinen, A. (2009). ICA with Sparse Connections: Revisited. In T. Adali, C. Jutten, J. Romano Travassos, & A. Barros Kardec (Eds.), Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009 (pp. 195-202). Berlin, Germany: Springer.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C59B-3 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0002-FE65-F
Genre: Konferenzbeitrag

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externe Referenz:
https://link.springer.com/content/pdf/10.1007%2F978-3-642-00599-2_25.pdf (Verlagsversion)
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Urheber

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 Urheber:
Zhang, K1, Autor           
Peng, H, Autor
Chan, L, Autor
Hyvärinen, A, Autor
Affiliations:
1External Organizations, ou_persistent22              

Inhalt

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Schlagwörter: -
 Zusammenfassung: When applying independent component analysis (ICA), sometimes we expect the connections between the observed mixtures and the recovered independent components (or the original sources) to be sparse, to make the interpretation easier or to reduce the random effect in the results. In this paper we propose two methods to tackle this problem. One is based on adaptive Lasso, which exploits the L 1 penalty with data-adaptive weights. We show the relationship between this method and the classic information criteria such as BIC and AIC. The other is based on optimal brain surgeon, and we show how its stopping criterion is related to the information criteria. This method produces the solution path of the transformation matrix, with different number of zero entries. These methods involve low computational loads. Moreover, in each method, the parameter controlling the sparsity level of the transformation matrix has clear interpretations. By setting such parameters to certain values, the results of the proposed methods are consistent with those produced by classic information criteria.

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Sprache(n):
 Datum: 2009-03
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1007/978-3-642-00599-2_25
BibTex Citekey: ZhangPCH2009
 Art des Abschluß: -

Veranstaltung

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Titel: 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009)
Veranstaltungsort: Paraty, Brazil
Start-/Enddatum: 2009-03-15 - 2009-03-18

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Quelle 1

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Titel: Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009
Genre der Quelle: Konferenzband
 Urheber:
Adali, T, Herausgeber
Jutten, C, Herausgeber
Romano Travassos, JM, Herausgeber
Barros Kardec, A, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Berlin, Germany : Springer
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 195 - 202 Identifikator: ISBN: 978-3-642-00599-2

Quelle 2

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Titel: Lecture Notes in Computer Science
Genre der Quelle: Reihe
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 5441 Artikelnummer: - Start- / Endseite: - Identifikator: -