TY  - BOOK
AU  - Vigneron,Vincent
AU  - Zarzoso,Vicente
AU  - Moreau,Eric
AU  - Gribonval,Rémi
AU  - Vincent,Emmanuel
ED  - SpringerLink (Online service)
TI  - Latent Variable Analysis and Signal Separation: 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783642159954
AV  - Q337.5 
U1  - 006.4 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Software engineering
KW  - Computer software
KW  - Computational complexity
KW  - Computer simulation
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Computer Science
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  - Speech and Audio Applications -- Convolutive Signal Separation -- The 2010 Signal Separation Evaluation Campaign (SiSEC2010) -- Audio -- Theory -- Telecom -- Tensor Factorizations -- Sparsity I -- Sparsity; Biomedical Applications -- Non-negativity; Image Processing Applications -- Tensors; Joint Diagonalization -- Sparsity II -- Biomedical Applications -- Emerging Topics
N2  - This book constitutes the proceedings of the 9th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2010, held in St. Malo, France, in September 2010. The 25 papers presented were carefully reviewed and selected from over hundred submissions. The papers collected in this volume demonstrate that the research activity in the field continues to gather theoreticians and practitioners, with contributions ranging range from abstract concepts to the most concrete and applicable questions and considerations. Speech and audio, as well as biomedical applications, continue to carry the mass of the considered applications. Unsurprisingly the concepts of sparsity and non-negativity, as well as tensor decompositions, have become predominant, reflecting the strong activity on these themes in signal and image processing at large
UR  - http://dx.doi.org/10.1007/978-3-642-15995-4
ER  -