Coupled rank-(Lm, Ln, ?) block term decomposition by coupled block simultaneous generalized Schur decomposition
Release Time:2019-03-11 Hits:
Indexed by: Conference Paper
Date of Publication: 2016-03-20
Included Journals: Scopus、EI
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.