1 option
Latent Variable Analysis and Signal Separation : 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings / edited by Petr Tichavský, Massoud Babaie-Zadeh, Olivier J.J. Michel, Nadège Thirion-Moreau.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 10169
- Theoretical Computer Science and General Issues, 2512-2029 ; 10169
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Automated Pattern Recognition.
- Computer Vision.
- Artificial Intelligence.
- Computer Modelling.
- Numerical Analysis.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (XVI, 576 pages) : 174 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-53547-0
- 9783319535470
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.