Latent Variable Analysis and Signal Separation
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings
Published on 6. June 2018
Book
Paperback/Softback
XVII, 580 pages
978-3-319-93763-2 (ISBN)
Description
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.
More details
Series
Edition
2018 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
150 s/w Abbildungen
XVII, 580 p. 150 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 33 mm
Weight
896 gr
ISBN-13
978-3-319-93763-2 (9783319937632)
DOI
10.1007/978-3-319-93764-9
Schweitzer Classification
Other editions
Additional editions
Yannick Deville | Sharon Gannot | Russell Mason
Latent Variable Analysis and Signal Separation
14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings
E-Book
06/2018
Springer
€53.49
Available for download
Content
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.