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[02254] Optimized first order alternating algorithms for fast and accurate low rank tensor decomposition

  • Session Time & Room : 5C (Aug.25, 13:20-15:00) @G302
  • Type : Contributed Talk
  • Abstract : CP tensor decomposition has been proven to be a powerful tool for extracting information from large high order tensor, being widely applied in many areas such as chemistry, biology and medical science. However, efficiently computing the CP tensor still remains a challenge. In this study, we propose some optimized first order alternating least square algorithms for low rank tensor decomposition. We validate and illustrate the proposed algorithms by using simulated and real multi-way data.
  • Classification : 15A72, 15A69, 65Z05
  • Format : Talk at Waseda University
  • Author(s) :
    • HUIWEN YU (Aarhus University)
    • Ove Christiansen (Aarhus University)