UID:
almahu_9947936561402882
Umfang:
XVII, 580 p. 150 illus.
,
online resource.
ISBN:
9783319937649
Serie:
Lecture Notes in Computer Science, 10891
Inhalt:
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.
Anmerkung:
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.
In:
Springer eBooks
Weitere Ausg.:
Printed edition: ISBN 9783319937632
Sprache:
Englisch
DOI:
10.1007/978-3-319-93764-9
URL:
http://dx.doi.org/10.1007/978-3-319-93764-9
