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

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 encompas...

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Corporate Author: SpringerLink (Online service)
Other Authors: Deville, Yannick. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gannot, Sharon. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mason, Russell. (Editor, http://id.loc.gov/vocabulary/relators/edt), Plumbley, Mark D. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ward, Dominic. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Theoretical Computer Science and General Issues ; 10891
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-93764-9
Summary: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.
Physical Description:XVII, 580 p. 150 illus. online resource.
ISBN:9783319937649