Release Time:2019-03-10  Hits:

Indexed by: Conference Paper

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.