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About this Chapter

Title Stochastic and Deterministic Tensorization for Blind Signal Separation Book Title Latent Variable Analysis and Signal Separation Book Subtitle 12th International Conference, LVA/ICA 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings Pages pp 3-13 2015 DOI 10.1007/978-3-319-22482-4_1 Print ISBN 978-3-319-22481-7 Online ISBN 978-3-319-22482-4 Series Title Lecture Notes in Computer Science Series Volume 9237 Series ISSN 0302-9743 Publisher Springer International Publishing Holder Springer International Publishing Switzerland Additional Links

• About this Book

Topics

• Pattern Recognition
• Image Processing and Computer Vision
• Simulation and Modeling
• Algorithm Analysis and Problem Complexity
• Discrete Mathematics in Computer Science
• Special Purpose and Application-Based Systems

Keywords

• Blind source separation
• Independent component analysis
• Tensorization
• Canonical polyadic decomposition
• Block term decomposition
• Higher-order tensor
• Multilinear algebra

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• Pharma
• Materials Steel
• Automotive
• Biotechnology
• Electronics
• IT Software
• Telecommunications
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• Aerospace
• Engineering

eBook Packages

• Computer Science

Editors

• Emmanuel Vincent (13)
• Arie Yeredor (14)
• Zbyněk Koldovský (15)
• Petr Tichavský (16)

Editor Affiliations

• 13. Inria
• 14. Tel Aviv University
• 15. Technical University of Libere
• 16. The Czech Academy of Sciences

Authors

• Otto Debals (17) (18) (19)
• Lieven De Lathauwer (17) (18) (19)

Author Affiliations

• 17. Department of Electrical Engineering (ESAT) – STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Kasteelpark Arenberg 10, 3001, Leuven, Belgium
• 18. Group Science, Engineering and Technology, KU Leuven Kulak, E. Sabbelaan 53, 8500, Kortrijk, Belgium
• 19. iMinds Medical IT, KU Leuven, Kasteelpark Arenberg 10, 3001, Leuven, Belgium

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