• DocumentCode
    1685483
  • Title

    Threshold selection for noisy matrix completion

  • Author

    Solo, Victor

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2013
  • Firstpage
    6581
  • Lastpage
    6584
  • Abstract
    While noise free matrix completion has a considerable history recent interest has centered on a noisy version of the problem. We consider a nuclear norm penalised least squares formulation. And by applying the SURE method, we develop for the first time, an automatic procedure for selecting the penalty parameter. We illustrate its use with some simulation results.
  • Keywords
    filtering theory; least squares approximations; matrix algebra; SURE method; collaborative filtering; noise free matrix completion; nuclear norm penalised least squares formulation; threshold selection; Equations; Inverse problems; Noise; Noise measurement; Optimization; Signal processing algorithms; Tuning; denoising; matrix completion; model selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638934
  • Filename
    6638934