Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization-Reference-Cited by-同舟云学术

Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization

Published: Issue: Volume: Page:169-176
ISSN:
Container-title:Independent Component Analysis and Signal Separation
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Author:

Cichocki Andrzej,Zdunek Rafal,Amari Shun-ichi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74494-8_22.pdf

Reference18 articles.

1. Cichocki, A., Amari, S.: Adaptive Blind Signal And Image Processing (New revised and improved edition). John Wiley, New York (2003)

2. Dhillon, I., Sra, S.: Generalized nonnegative matrix approximations with Bregman divergences. In: Neural Information Proc. Systems, Vancouver, Canada (2005)

3. Hazan, T., Polak, S., Shashua, A.: Sparse image coding using a 3D non-negative tensor factorization. In: International Conference of Computer Vision (ICCV), pp. 50–57 (2005)

4. Lecture Notes in Computer Science;M. Heiler,2006

5. Hoyer, P.: Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research 5, 1457–1469 (2004)

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