DocumentCode :
698336
Title :
Enhanced Line Search: A novel method to accelerate Parafac
Author :
Rajih, Myriam ; Comon, Pierre
Author_Institution :
I3S Lab., UNSA, Sophia-Antipolis, France
fYear :
2005
fDate :
4-8 Sept. 2005
Firstpage :
1
Lastpage :
4
Abstract :
The ALS algorithm, used to fit the Parafac model, sometimes needs a large number of iterations before converging. The slowness in convergence can be due to the large size of the data, or to the presence of degeneracies, etc. Several methods have been proposed to speed up the algorithm, some of which are compression [3], and Line Search [2]. In this paper, after a description of Parafac, we will present a novel method for speeding up the algorithm that shows better results in simulations compared to the existing methods, especially in the case of degeneracy. The paper gives an application of the method to blindly identify the mixing matrix of an Under-Determined Mixture (UDM), but it can be applied to any N-way decomposition problem.
Keywords :
least squares approximations; matrix algebra; ALS algorithm; N-way decomposition problem; Parafac model; UDM; alternating least squares algorithm; enhanced line search; mixing matrix; under determined mixture; Acceleration; Complexity theory; Convergence; Load modeling; Loading; Optimization; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
Type :
conf
Filename :
7077919
Link To Document :
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