Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations
Author:
Affiliation:
1. RIKEN Brain Science Institute and Warsaw University of Technology and Systems Research Institute, Polish Academy of Science
2. RIKEN Brain Science Institute
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
http://www.jstage.jst.go.jp/article/transfun/E92.A/3/E92.A_3_708/_pdf
Reference38 articles.
1. [1] S. Amari, Differential-Geometrical Methods in Statistics, Springer Verlag, 1985.
2. Learning the parts of objects by non-negative matrix factorization
3. Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
4. [4] A. Cichocki, R. Zdunek, and S. Amari, “Csiszar's divergences for non-negative matrix factorization: Family of new algorithms, ” Springer LNCS, vol.3889, pp.32-39, 2006.
5. [5] A. Cichocki, R. Zdunek, A.H. Phan, and S. Amari, Nonnegative Matrix and Tensor Facorizarions, Wiely, Chichester, 2009.
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