Nonnegative 3-way tensor factorization taking in to account possible missing data
暂无分享,去创建一个
[1] Rasmus Bro,et al. Multi-way Analysis with Applications in the Chemical Sciences , 2004 .
[2] Elijah Polak,et al. Optimization: Algorithms and Consistent Approximations , 1997 .
[3] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[4] P. Paatero. Construction and analysis of degenerate PARAFAC models , 2000 .
[5] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[6] P. Paatero. A weighted non-negative least squares algorithm for three-way ‘PARAFAC’ factor analysis , 1997 .
[7] Pierre Comon,et al. Computing the nonnegative 3-way tensor factorization using Tikhonov regularization , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] R. Bro,et al. PARAFAC and missing values , 2005 .
[9] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[10] Tamara G. Kolda,et al. Scalable Tensor Factorizations for Incomplete Data , 2010, ArXiv.
[11] P. Comon,et al. Tensor decompositions, alternating least squares and other tales , 2009 .
[12] Pierre Comon,et al. Computing the polyadic decomposition of nonnegative third order tensors , 2011, Signal Process..
[13] R. Bro,et al. A fast non‐negativity‐constrained least squares algorithm , 1997 .
[14] F. L. Hitchcock. The Expression of a Tensor or a Polyadic as a Sum of Products , 1927 .
[15] Pierre Comon,et al. Nonnegative approximations of nonnegative tensors , 2009, ArXiv.