DocumentCode :
3603873
Title :
Tensor Deflation for CANDECOMP/PARAFAC— Part II: Initialization and Error Analysis
Author :
Anh-Huy Phan ; Tichavsky, Petr ; Cichocki, Andrzej
Author_Institution :
Lab. for Adv. Brain Signal Process., RIKEN, Wako, Japan
Volume :
63
Issue :
22
fYear :
2015
Firstpage :
5939
Lastpage :
5950
Abstract :
In Part I of the study of the tensor deflation for CANDECOMP/PARAFAC, we have shown that the rank-1 tensor deflation is applicable under some conditions. Part II of the study presents several initialization algorithms suitable for the algorithm proposed in Part I. In addition, Part II contains an algorithm for the case when one or more factor matrices in the estimated model is constrained to be orthogonal. Finally, Part II provides an error analysis of the tensor deflation algorithm, which shows that there is a marginal loss of accuracy of the deflation algorithm compared to the ordinary CP decomposition.
Keywords :
error analysis; singular value decomposition; tensors; CANDECOMP/PARAFAC; CP decomposition; SVD; error analysis; estimated model; factor matrices; initialization algorithms; marginal loss; rank-1 tensor deflation; singular value decomposition; tensor deflation algorithm; Accuracy; Algorithm design and analysis; Approximation algorithms; Approximation error; Matrix decomposition; Signal processing algorithms; Tensile stress; CANDECOMP/PARAFAC; Cramér-Rao lower bound; canonical polyadic decomposition (CPD); tensor deflation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2015.2458789
Filename :
7163358
Link To Document :
بازگشت