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PRODID:-//Memento EPFL//
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SUMMARY:Multiscale geometric methods for noisy point clouds in high dimens
 ions
DTSTART:20101220T160000
DTSTAMP:20260507T084441Z
UID:627053ca7a8d79a997b2647ba7bd413c77dd9424a9e5bd6e6ecce07d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Mauro Maggioni\nWe discuss techniques for the geometric 
 multiscale analysis of intrinsically low-dimensional point clouds. We firs
 t show how such techniques may be used to estimate the intrinsic dimension
  of data sets\, then discuss a novel geometric multiscale transform\, base
 d on what we call geometric wavelets\, that leads to novel approximation s
 chemes for point clouds\, and dictionary learning methods for data sets. F
 inally\, we apply similar techniques to model estimation when points are s
 ampled from a measure supported on a union of an unknown number of unknown
  planes of unknown dimensions.
LOCATION:ELD 220
STATUS:CONFIRMED
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