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Latent variable analysis and signal ...
~
(1998 :)
Latent variable analysis and signal separation14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Latent variable analysis and signal separationedited by Yannick Deville ... [et al.].
Reminder of title:
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings /
remainder title:
LVA/ICA 2018
other author:
Deville, Yannick.
corporate name:
Published:
Cham :Springer International Publishing :2018.
Description:
xvii, 580 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Source separation (Signal processing)Congresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-93764-9
ISBN:
9783319937649$q(electronic bk.)
Latent variable analysis and signal separation14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings /
Latent variable analysis and signal separation
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings /[electronic resource] :LVA/ICA 2018edited by Yannick Deville ... [et al.]. - Cham :Springer International Publishing :2018. - xvii, 580 p. :ill., digital ;24 cm. - Lecture notes in computer science,108910302-9743 ;. - Lecture notes in computer science ;4891..
Structured Tensor Decompositions and Applications -- Matrix and Tensor Factorizations -- ICA Methods -- Nonlinear Mixtures -- Audio Data and Methods -- Signal Separation Evaluation Campaign -- Deep Learning and Data-driven Methods -- Advances in Phase Retrieval and Applications -- Sparsity-Related Methods -- Biomedical Data and Methods.
This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018. The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.
ISBN: 9783319937649$q(electronic bk.)
Standard No.: 10.1007/978-3-319-93764-9doiSubjects--Topical Terms:
560376
Source separation (Signal processing)
--Congresses.
LC Class. No.: TK5102.9 / .L83 2018
Dewey Class. No.: 621.3822
Latent variable analysis and signal separation14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings /
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14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings /
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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.
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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.
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Computer Science (Springer-11645)
based on 0 review(s)
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EB TK5102.9 L979 2018 2018
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http://dx.doi.org/10.1007/978-3-319-93764-9
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