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.
Produkteigenschaften
- Artikelnummer: 9783319937632
- Medium: Buch
- ISBN: 978-3-319-93763-2
- Verlag: Springer International Publishing
- Erscheinungstermin: 06.06.2018
- Sprache(n): Englisch
- Auflage: 1. Auflage 2018
- Serie: Theoretical Computer Science and General Issues
- Produktform: Kartoniert
- Gewicht: 896 g
- Seiten: 580
- Format (B x H x T): 155 x 235 x 33 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Mustererkennung, Biometrik
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Mustererkennung, Biometrik
- Mathematik | Informatik
- EDV | Informatik
- Professionelle Anwendung
- Computersimulation & Modelle, 3-D Graphik