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SUMMARY:Optimal Design in Large-Scale Inversion - From Compressive to Comp
 rehensive Sensing - Horesh\, L (IBM Research)
DTSTART:20140211T141500Z
DTEND:20140211T150000Z
UID:TALK50801@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Co-authors: Eldad Haber (UBC)\, Luis Tenorio (CSM) \n\nIn the 
 quest for improving inversion fidelity of large-scale problems\, great con
 sideration has been devoted towards effective solution of ill-posed proble
 ms of various regularization configurations. Nevertheless\, complementary 
 issues\, such as determination of optimal configurations for data acquisit
 ion or more generally any other controllable parameters of the apparatus a
 nd process were frequently overlooked. While optimal design for well-posed
  problems has been extensively studied in the past\, little consideration 
 has been directed to its ill-posed counterpart. This is strikingly in cont
 rast to the fact that a broad range of real-life problems are of such natu
 re. In this talk\, some of the intrinsic difficulties associated with desi
 gn for ill-posed inverse problems shall be described\, further\, a coheren
 t formulation to address these challenges will be laid out and finally the
  importance of design for various inversion problems shall be demonstrated
 .\n\nRelated Links: \nhttp://ocrdesign.wix.com/home - Design in Inversion 
 - Open Collaboration Research \n\nhttps://www.google.com/url?sa=t&rct=j&q=
 &esrc=s&source=web&cd=9&cad=rja&ved=0CE0QFjAI&url=http%3A%2F%2Fusers.ices.
 utexas.edu%2F~omar%2Fsantafe2013%2Fslides%2FHoresh.ppsx&ei=1oSyUubrBsaekQf
 bwYCwBw&usg=AFQjCNGO6s1LcQqgbTrakWPD1TvHwf_ivw&sig2=60jCyY3RY_F3IGfuLnm-5g
 &bvm=bv.58187178\,d.eW0 - Optimal Design for Large-Scale Ill-Posed Problem
 s - Slide deck \n
LOCATION:Seminar Room 1\, Newton Institute
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