ICASSP 2016accepted0 citations
Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition
Xiao-Feng Gong, Qiu-Hua Lin, Otto Debals, Nico Vervliet, Lieven De Lathauwer
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 <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</inf> , L <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</inf> , •) 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.
BibTeX
@inproceedings{icassp2016_coupledranklmlnb,
title = {Coupled rank-(Lm, Ln, •) block term decomposition by coupled block simultaneous generalized Schur decomposition},
author = {Xiao-Feng Gong and Qiu-Hua Lin and Otto Debals and Nico Vervliet and Lieven De Lathauwer},
booktitle = {ICASSP 2016},
year = {2016}
}