Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10891)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): LVA/ICA: International Conference on Latent Variable Analysis and Signal Separation
Conference proceedings info: LVA/ICA 2018.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (52 papers)
-
Front Matter
-
Structured Tensor Decompositions and Applications
-
Front Matter
-
-
Matrix and Tensor Factorizations
-
Front Matter
-
About this book
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.
Keywords
- Source separation
- Non-negative matrix factorization
- Audio
- Biomedical signal processing
- Matrix and tensor decompositions
- Nonlinear mixtures
- Independent component analysis
- Bayesian methods
- Sparsity-related methods
- Deep learning
- Blind source separation
- Speech recognition
- Speech analysis
- speech processing
- Factorization
- Image reconstruction
- Neural networks
Editors and Affiliations
-
Paul Sabatier University, Toulouse, France
Yannick Deville
-
Bar-Ilan University, Ramat Gan, Israel
Sharon Gannot
-
University of Surrey, Guildford, United Kingdom
Russell Mason, Mark D. Plumbley, Dominic Ward
Bibliographic Information
Book Title: Latent Variable Analysis and Signal Separation
Book Subtitle: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings
Editors: Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-93764-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-93763-2Published: 06 June 2018
eBook ISBN: 978-3-319-93764-9Published: 05 June 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 580
Number of Illustrations: 150 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Simulation and Modeling, Numeric Computing, Computer Communication Networks