Abstract | ||
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•A novel non-orthogonal tensor diagonalization method is proposed.•It can have form of two sided or three sided diagonalization, or block-diagonalization.•It can serve as a new method of Canonic Polyadic (CP) tensor decomposition, but even more importantly for block-term tensor decomposition.•The proposed method has low computational complexity, similar to that of the popular Alternating Least Squares algorithm for CP decomposition.•In comparison with other CP decomposition and block-term decomposition methods, the proposed one is less sensitive to wrong initialization. |
Year | DOI | Venue |
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2017 | 10.1016/j.sigpro.2017.04.001 | Signal Processing |
Keywords | DocType | Volume |
Multilinear models,Canonical polyadic decomposition,Parallel factor analysis,Block-term decomposition,Joint matrix diagonalization | Journal | 138 |
ISSN | Citations | PageRank |
0165-1684 | 1 | 0.38 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Petr Tichavský | 1 | 341 | 41.01 |
Anh Huy Phan | 2 | 828 | 51.60 |
Andrzej Cichocki | 3 | 5228 | 508.42 |