Latent Variable Analysis and Signal Separation

Latent Variable Analysis and Signal Separation

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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 27a€“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.9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010, Proceedings Vincent Vigneron, ... are equal to the source signals up to acceptable indeterminacies, then the considered global model is said to be ICA- separable, for the considered type of sources. ... ICA. Separability. Joint pdf of output random variables. When expressing the outputs yi with respect to the transformedanbsp;...

Title:Latent Variable Analysis and Signal Separation
Author: Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent
Publisher:Springer Science & Business Media - 2010-09-27

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