Custom cover image
Custom cover image

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

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in computer science ; 7191Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012Description: Online-Ressource (XVI, 538p, digital)ISBN:
  • 9783642285516
Subject(s): Genre/Form: Additional physical formats: 9783642285509 | Erscheint auch als: Latent variable analysis and signal separation. CD-ROM-Ausgabe. Berlin : Springer, 2012. 1 CD-ROM | Buchausg. u.d.T.: Latent variable analysis and signal separation. Berlin : Springer, 2012. XVI, 538 S.DDC classification:
  • 621.38223 23
  • 006.4
  • 004
MSC: MSC: *94-06 | 94A12 | 00B25LOC classification:
  • Q337.5 TK7882.P3
  • Q337.5
  • TK7882.P3
DOI: DOI: 10.1007/978-3-642-28551-6Online resources: Summary: 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.PPN: PPN: 165133028XPackage identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB
No physical items for this record
KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT