Latent Variable Analysis and Signal Separation, 1st ed. 2018 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings Theoretical Computer Science and General Issues Series
Langue : Anglais
Coordonnateurs : Deville Yannick, Gannot Sharon, Mason Russell, Plumbley Mark D., Ward Dominic
This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.
The 52 full papers were carefully reviewed and selected from 62 initial submissions.
As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.Structured Tensor Decompositions and Applications.- Matrix and Tensor Factorizations.- ICA Methods.- Nonlinear Mixtures.- Audio Data and Methods.- Signal Separation Evaluation Campaign.- Deep Learning and Data-driven Methods.- Advances in Phase Retrieval and Applications.- Sparsity-Related Methods.- Biomedical Data and Methods.
Date de parution : 06-2018
Ouvrage de 580 p.
15.5x23.5 cm
Thème de Latent Variable Analysis and Signal Separation :
Mots-clés :
Source separation; Non-negative matrix factorization; Audio; Biomedical signal processing; Matrix and tensor decompositions; Nonlinear mixtures; Independent component analysis; Bayesian methods; Sparsity-related methods; Deep learning; Blind source separation; Speech recognition; Speech analysis; speech processing; Factorization; Image reconstruction; Neural networks
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