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Indexed by:会议论文

Date of Publication:2016-01-01

Included Journals:CPCI-S

Page Number:2554-2558

Key Words:Tensor; block term decomposition; coupled tensor decomposition; multi-set data fusion

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-(L-m, L-n, .) 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.