Description: Latent Variable Analysis and Signal Separation Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2?5, 2018, Proceedings Author(s): Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319937632, 978-3319937632 Synopsis 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 [url] 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.
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Book Title: Latent Variable Analysis and Signal Separation
Item Height: 235 mm
Item Width: 155 mm
Series: Theoretical Computer Science and General Issues
Author: Russell Mason, Sharon Gannot, Dominic Ward, Mark D. Plumbley, Yannick Deville
Publication Name: Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings
Format: Paperback
Language: English
Publisher: Springer International Publishing A&G
Subject: Computer Science
Publication Year: 2018
Type: Textbook
Item Weight: 908 g
Number of Pages: 580 Pages