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
Analysis
computerwetenschappen
computer sciences
wiskunde
mathematics
beeldverwerking
image processing
machine vision
patroonherkenning
pattern recognition
algoritmen
algorithms
computeranalyse
computer analysis
systemen
systems
simulatiemodellen
simulation models
Information and Communication Technology (General)
Informatie- en communicatietechnologie (algemeen)
Notes
International conference proceedings
Includes author index
English
Online resource; title from PDF title page (SpringerLink, viewed August 20, 2015)
