• 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