Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings

Gespeichert in:

Personen und Körperschaften:	Theis, Fabian (VerfasserIn), Cichocki, Andrzej (Sonstige), Yeredor, Arie (Sonstige), Zibulevsky, Michael (Sonstige)
Titel:	Latent Variable Analysis and Signal Separation: 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings/ edited by Fabian Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky
Format:	E-Book Konferenzbericht
Sprache:	Englisch
veröffentlicht:	Berlin, Heidelberg Springer Berlin Heidelberg 2012
Gesamtaufnahme:	SpringerLink Lecture notes in computer science ; 7191
Schlagwörter:	Software engineering Computer software Computational complexity Optical pattern recognition Computer Science Computer science Computer simulation Computer vision Algorithms. Pattern recognition systems. Discrete mathematics. Computers, Special purpose. Paperback / softback Research computational imaging content analysis environmental monitoring pattern analysis structural complexity Konferenzschrift > 2012 > Tel Aviv Konferenzschrift
Buchausg. u.d.T.:	Latent variable analysis and signal separation, Berlin : Springer, 2012, XVI, 538 S.
CD-ROM-Ausg.:	Latent variable analysis and signal separation, Berlin : Springer, 2012, 1 CD-ROM
Quelle:	Verbunddaten SWB
Zugangsinformationen:	Elektronischer Volltext - Campuslizenz

Details
Zusammenfassung:	This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in Marchr 2012. The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.
Beschreibung:	Literaturangaben
Umfang:	Online-Ressource (XVI, 538p, digital)
ISBN:	9783642285516
DOI:	10.1007/978-3-642-28551-6