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Latent variable analysis and signal separation : 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings / Emmanuel Vincent, Arie Yeredor, Zbyněk Koldovský, Petr Tichavský (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 9237. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Cham : Springer, 2015Description: 1 online resource (xvi, 532 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319224824
  • 3319224824
  • 3319224816
  • 9783319224817
Other title:
  • LVA/ICA 2015
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382/2 23
LOC classification:
  • TK5102.9
Online resources:
Contents:
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.
Summary: 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.
Holdings
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International conference proceedings.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed August 20, 2015).

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.

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.

English.

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