• DocumentCode
    2804332
  • Title

    Threshold selection for group sparsity

  • Author

    Solo, Victor ; Ulfarsson, Magnus

  • Author_Institution
    School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, AUSTRALIA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3754
  • Lastpage
    3757
  • Abstract
    The group Lasso is an extension of the Lasso or l1-penalised least squares procedure. It forces simultaneous zeroing of groups of variables and has already been applied to sparse component analysis and ill-conditioned inverse problems. In this paper we address the unresolved problem of threshold or penalty parameter selection.
  • Keywords
    Australia; Explosions; Image coding; Image processing; Inverse problems; Least squares methods; Magnetoencephalography; Noise reduction; Numerical analysis; Statistical analysis; LASSO; SURE; l1 denoising; sparse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX, USA
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5495858
  • Filename
    5495858
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2804332