Latent Variable Analysis and Signal Separation
Vigneron, Vincent.
Latent Variable Analysis and Signal Separation 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings / [recurso electrónico] : edited by Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent. - XVIII, 655p. 182 illus. online resource. - Lecture Notes in Computer Science, 6365 0302-9743 ; . - Lecture Notes in Computer Science, 6365 .
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.
Thisvolumecollectsthepaperspresentedatthe9thInternationalConferenceon Latent Variable Analysis and Signal Separation,LVA/ICA 2010. The conference was organized by INRIA, the French National Institute for Computer Science and Control,and was held in Saint-Malo, France, September 27–30,2010,at the Palais du Grand Large. Tenyearsafterthe?rstworkshoponIndependent Component Analysis(ICA) in Aussois, France, the series of ICA conferences has shown the liveliness of the community of theoreticians and practitioners working in this ?eld. While ICA and blind signal separation have become mainstream topics, new approaches have emerged to solve problems involving signal mixtures or various other types of latent variables: semi-blind models, matrix factorization using sparse com- nent analysis, non-negative matrix factorization, probabilistic latent semantic indexing, tensor decompositions, independent vector analysis, independent s- space analysis, and so on. To re?ect this evolution towards more general latent variable analysis problems in signal processing, the ICA International Steering Committee decided to rename the 9th instance of the conference LVA/ICA. From more than a hundred submitted papers, 25 were accepted as oral p- sentationsand53 asposter presentations. Thecontent ofthis volumefollowsthe conference schedule, resulting in 14 chapters. The papers collected in this v- ume demonstrate that the research activity in the ?eld continues to range from abstract concepts to the most concrete and applicable questions and consid- ations. Speech and audio, as well as biomedical applications, continue to carry the mass of the applications considered.
9783642159954
Computer science.
Software engineering.
Computer software.
Computational complexity.
Computer simulation.
Computer vision.
Optical pattern recognition.
Computer Science.
Pattern Recognition.
Image Processing and Computer Vision.
Simulation and Modeling.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Special Purpose and Application-Based Systems.
Q337.5 TK7882.P3
006.4
Latent Variable Analysis and Signal Separation 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings / [recurso electrónico] : edited by Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent. - XVIII, 655p. 182 illus. online resource. - Lecture Notes in Computer Science, 6365 0302-9743 ; . - Lecture Notes in Computer Science, 6365 .
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.
Thisvolumecollectsthepaperspresentedatthe9thInternationalConferenceon Latent Variable Analysis and Signal Separation,LVA/ICA 2010. The conference was organized by INRIA, the French National Institute for Computer Science and Control,and was held in Saint-Malo, France, September 27–30,2010,at the Palais du Grand Large. Tenyearsafterthe?rstworkshoponIndependent Component Analysis(ICA) in Aussois, France, the series of ICA conferences has shown the liveliness of the community of theoreticians and practitioners working in this ?eld. While ICA and blind signal separation have become mainstream topics, new approaches have emerged to solve problems involving signal mixtures or various other types of latent variables: semi-blind models, matrix factorization using sparse com- nent analysis, non-negative matrix factorization, probabilistic latent semantic indexing, tensor decompositions, independent vector analysis, independent s- space analysis, and so on. To re?ect this evolution towards more general latent variable analysis problems in signal processing, the ICA International Steering Committee decided to rename the 9th instance of the conference LVA/ICA. From more than a hundred submitted papers, 25 were accepted as oral p- sentationsand53 asposter presentations. Thecontent ofthis volumefollowsthe conference schedule, resulting in 14 chapters. The papers collected in this v- ume demonstrate that the research activity in the ?eld continues to range from abstract concepts to the most concrete and applicable questions and consid- ations. Speech and audio, as well as biomedical applications, continue to carry the mass of the applications considered.
9783642159954
Computer science.
Software engineering.
Computer software.
Computational complexity.
Computer simulation.
Computer vision.
Optical pattern recognition.
Computer Science.
Pattern Recognition.
Image Processing and Computer Vision.
Simulation and Modeling.
Algorithm Analysis and Problem Complexity.
Discrete Mathematics in Computer Science.
Special Purpose and Application-Based Systems.
Q337.5 TK7882.P3
006.4
