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SUMMARY:An Adaptive Inverse Scale Space Method for Compressed Sensing - Ma
 rtin Burger (University of Münster)
DTSTART:20120703T140000Z
DTEND:20120703T144000Z
UID:TALK38674@talks.cam.ac.uk
CONTACT:Carola-Bibiane Schoenlieb
DESCRIPTION:In this talk a novel adaptive approach for solving -minimizati
 on problems as frequently arising in compressed sensing is introduced\, wh
 ich is based on the recently introduced inverse scale space method. The sc
 heme allows to efficiently compute minimizers by solving a sequence of low
 -dimensional nonnegative least-squares problems. Moreover\, extensive comp
 arisons between the proposed method and the related orthogonal matching pu
 rsuit algorithm are presented.
LOCATION:MR 14\, Centre for Mathematical Sciences
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