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 (Herausgeber)

Buch | Softcover

XVII, 580 Seiten

2018
Springer International Publishing (Verlag)
9783319937632 (ISBN)

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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.

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.

Erscheinungsdatum	09.06.2018
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	XVII, 580 p. 150 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	896 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Audio • Bayesian Methods • Biomedical Signal Processing • Blind Source Separation • Deep learning • Factorization • image reconstruction • Independent Component Analysis • Matrix and tensor decompositions • Neural networks • Nonlinear mixtures • Non-Negative Matrix Factorization • Source Separation • Sparsity-related methods • Speech Analysis • Speech processing • Speech Recognition
ISBN-13	9783319937632 / 9783319937632
Zustand	Neuware