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Latent Variable Analysis and Signal Separation = 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Latent Variable Analysis and Signal Separation/ edited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward.
Reminder of title:	14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings /
other author:	Deville, Yannick.
Description:	XVII, 580 p. 150 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Pattern recognition. -
Online resource:	https://doi.org/10.1007/978-3-319-93764-9
ISBN:	9783319937649

Latent Variable Analysis and Signal Separation = 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings /
Latent Variable Analysis and Signal Separation14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings /[electronic resource] :edited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward. - 1st ed. 2018. - XVII, 580 p. 150 illus.online resource. - Theoretical Computer Science and General Issues ;10891. - Theoretical Computer Science and General Issues ;9163.

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

Standard No.: 10.1007/978-3-319-93764-9doiSubjects--Topical Terms:

1253525
Pattern recognition.

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Latent Variable Analysis and Signal Separation = 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings /
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