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

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.

List of 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.

Product details

• Assisted by: Zbyn¿k Koldovský (Editor), Zbynek Koldovský (Editor), Zbyněk Koldovský (Editor), Zbynek Koldovský et al (Editor), Petr Tichavský (Editor), Emmanuel Vincent (Editor), Ari Yeredor (Editor), Arie Yeredor (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2015
• EAN: 9783319224817
• ISBN: 978-3-31-922481-7
• No. of pages: 532
• Dimensions: 155 mm x 235 mm x 27 mm
• Weight: 821 g
• Illustrations: XVI, 532 p. 128 illus.
• Series: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Algorithms, computer science, Computer Vision, Theory of Computation, Image Processing and Computer Vision, pattern recognition, Discrete Mathematics in Computer Science, Discrete Mathematics, Algorithms & data structures, Automated Pattern Recognition, Computer science—Mathematics, Maths for computer scientists, Optical data processing, Algorithm Analysis and Problem Complexity, Computer simulation, Computer modelling & simulation, Simulation and Modeling, Image processing, Expert systems / knowledge-based systems, Special purpose computers, Special Purpose and Application-Based Systems