• DocumentCode
    2170253
  • Title

    The Rotational Lasso

  • Author

    Lorbert, Alexander ; Ramadge, Peter J.

  • Author_Institution
    Dept. of Electrical Engineering, Princeton University, NJ, USA
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    3896
  • Lastpage
    3899
  • Abstract
    This paper presents a sparse approach of solving the one-sided Procrustes problem with special orthogonal constraint. By leveraging a planar decomposition common to all rotation matrices, a new constraint is introduced into this classical problem in the form of a sparsity-inducing norm. We call the resulting optimization problem the Rotational Lasso. Experimental results are presented from a synthetic dataset.
  • Keywords
    Equations; Mathematical model; Matrix decomposition; Optimization; Sparse matrices; Transmission line matrix methods; Yttrium; Orthogonal Procrustes problem; estimation; gradient methods; planar rotations; sparsity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague, Czech Republic
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5947203
  • Filename
    5947203
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2170253