• DocumentCode
    1666632
  • Title

    The generalized lasso is reducible to a subspace constrained lasso

  • Author

    Hao Xu ; Eis, David J. ; Ramadge, Peter J.

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • fYear
    2013
  • Firstpage
    3268
  • Lastpage
    3272
  • Abstract
    We investigate connections between the generalized lasso and the standard lasso problem. We show by an efficient direct construction, that the generalized lasso problem is reducible to a subspace constrained lasso. We then derive the dual of the subspace constrained lasso. This dual problem can be projected to the dual of a standard lasso problem with a modified dictionary. Finally, we discuss the application of these ideas to image approximation using the 2D fused lasso.
  • Keywords
    dictionaries; image processing; 2D fused lasso; generalized lasso; image approximation; modified dictionary; standard lasso problem; subspace constrained lasso; Compressed sensing; Dictionaries; Educational institutions; Magnetic resonance imaging; Speech recognition; Standards; Vectors; Lagrange dual; Sparsity; lasso; regularized regression;
  • 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.2013.6638262
  • Filename
    6638262