DocumentCode
2171476
Title
Semi-algebraic canonical decomposition of multi-way arrays and Joint Eigenvalue Decomposition
Author
Luciani, Xavier ; Albera, Laurent
Author_Institution
Inserm, France
fYear
2011
fDate
22-27 May 2011
Firstpage
4104
Lastpage
4107
Abstract
A semi-algebraic algorithm based on Joint Eigenvalue De composition (JEVD) is proposed to compute the CP de composition of multi-way arrays. The iterative part of the method is thus limited to the JEVD computation. In addition it involves less restrictive hypothesis than other recent semi algebraic approaches. We also propose an original JEVD technique based on the LU factorization. Numerical examples highlight the main advantages of the proposed methods to solve both the JEVD and CP problems.
Keywords
eigenvalues and eigenfunctions; matrix decomposition; JEVD computation; LU factorization; joint eigenvalue decomposition; multiway arrays; semialgebraic canonical decomposition; Indexes; CP; PARAFAC; Tensor decomposition; joint eigenvalue decomposition; non defective matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5947255
Filename
5947255
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