TY  - BOOK
AU  - Vincent,Emmanuel
AU  - Yeredor,Arie
AU  - Koldovský,Zbyněk
AU  - Tichavský,Petr
ED  - SpringerLink (Online service)
TI  - Latent Variable Analysis and Signal Separation: 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings 
T2  - Theoretical Computer Science and General Issues
SN  - 9783319224824
AV  - Q337.5 
U1  - 006.4 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Pattern recognition
KW  - Optical data processing
KW  - Computer simulation
KW  - Algorithms
KW  - Computer science—Mathematics
KW  - Special purpose computers
KW  - Pattern Recognition
KW  - Image Processing and Computer Vision
KW  - Simulation and Modeling
KW  - Algorithm Analysis and Problem Complexity
KW  - Discrete Mathematics in Computer Science
KW  - Special Purpose and Application-Based Systems
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-22482-4
ER  -