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Cover Art
Author LVA/ICA (Conference) (14th : 2018 : Guildford, England), author.

Title Latent variable analysis and signal separation : 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018 : proceedings / Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward (eds.).

Published Cham, Switzerland : Springer, [2018]


Location Call No. Status
Physical description 1 online resource.
Series Lecture notes in computer science ; 10891
Lecture notes in computer science ; 10891.
Springer Lecture Notes in Computer Science
Contents 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.
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.
Other author Deville, Yannick, 1964- editor.
Gannot, Sharon, editor.
Mason, Russell, editor.
Plumbley, Mark D., editor.
Ward, Dominic, editor.
SpringerLink issuing body.
Subject Source separation (Signal processing) -- Congresses.
Electronic books.
Variant Title LVA/ICA 2018
ISBN 9783319937649 electronic book
3319937642 electronic book
Standard Number 10.1007/978-3-319-93764-9