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Coupled rank-(Lm, Ln, ?) block term decomposition by coupled block simultaneous generalized Schur decomposition

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Indexed by:会议论文

Date of Publication:2016-03-20

Included Journals:EI、Scopus

Volume:2016-May

Page Number:2554-2558

Abstract:Coupled decompositions of multiple tensors are fundamental tools for multi-set data fusion. In this paper, we introduce a coupled version of the rank-(Lm, Ln, ?) block term decomposition (BTD), applicable to joint independent subspace analysis. We propose two algorithms for its computation based on a coupled block simultaneous generalized Schur decomposition scheme. Numerical results are given to show the performance of the proposed algorithms. ? 2016 IEEE.

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Coupled rank-(Lm, Ln, ?) block term decomposition by coupled block simultaneous generalized Schur decomposition