Latent Variable Analysis and Signal Separation 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings / [electronic resource] :
edited by Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward.
- 1st ed. 2018.
- XVII, 580 p. 150 illus. online resource.
- Theoretical Computer Science and General Issues, 10891 2512-2029 ; .
- Theoretical Computer Science and General Issues, 10891 .
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.
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.
9783319937649
10.1007/978-3-319-93764-9 doi
Pattern recognition systems.
Computer vision.
Artificial intelligence.
Computer simulation.
Numerical analysis.
Computer networks .
Automated Pattern Recognition.
Computer Vision.
Artificial Intelligence.
Computer Modelling.
Numerical Analysis.
Computer Communication Networks.
Q337.5 TK7882.P3
006.4
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.
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.
9783319937649
10.1007/978-3-319-93764-9 doi
Pattern recognition systems.
Computer vision.
Artificial intelligence.
Computer simulation.
Numerical analysis.
Computer networks .
Automated Pattern Recognition.
Computer Vision.
Artificial Intelligence.
Computer Modelling.
Numerical Analysis.
Computer Communication Networks.
Q337.5 TK7882.P3
006.4