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Latent Variable Analysis and Signal Separation = 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Latent Variable Analysis and Signal Separation/ edited by Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský.
Reminder of title:	12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /
other author:	Vincent, Emmanuel.
Description:	XVI, 532 p. 128 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Pattern recognition. -
Online resource:	https://doi.org/10.1007/978-3-319-22482-4
ISBN:	9783319224824

Latent Variable Analysis and Signal Separation = 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /
Latent Variable Analysis and Signal Separation12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /[electronic resource] :edited by Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský. - 1st ed. 2015. - XVI, 532 p. 128 illus.online resource. - Theoretical Computer Science and General Issues ;9237. - Theoretical Computer Science and General Issues ;9163.

Tensor-based methods for blind signal separation -- Deep neural networks for supervised speech separation/enhancment -- Joined analysis of multiple datasets, data fusion, and related topics -- Advances in nonlinear blind source separation -- Sparse and low rank modeling for acoustic signal processing.

This book constitutes the proceedings of the 12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICS 2015, held in Liberec, Czech Republic, in August 2015. The 61 revised full papers presented – 29 accepted as oral presentations and 32 accepted as poster presentations – were carefully reviewed and selected from numerous submissions. Five special topics are addressed: tensor-based methods for blind signal separation; deep neural networks for supervised speech separation/enhancement; joined analysis of multiple datasets, data fusion, and related topics; advances in nonlinear blind source separation; sparse and low rank modeling for acoustic signal processing.

ISBN: 9783319224824

Standard No.: 10.1007/978-3-319-22482-4doiSubjects--Topical Terms:

1253525
Pattern recognition.

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Latent Variable Analysis and Signal Separation = 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings /
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