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PRODID:-//Memento EPFL//
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SUMMARY:A Grassmann Manifold Handbook
DTSTART:20210506T161500
DTEND:20210506T171500
DTSTAMP:20260509T115326Z
UID:029424f7ab6ae4d7e5aff570dc1e720071504453c210ad17dc41da7f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Pierre-Antoine Absil (UCLouvain)\nThe topic of this talk
  is the Grassmann manifold\, which consists of all p-dimensional linear su
 bspaces of R^n. We will first review a few applications where the Grassman
 n manifold appears\; they range from machine learning\, computer vision an
 d image processing to low-rank matrix optimization problems\, dynamic low-
 rank decompositions and model reduction. We will explain in what sense thi
 s set is a manifold. We will then go over a few essential facts and formul
 ae on the geometry of the Grassmann manifold in a fashion that is fit for 
 tackling the aforementioned applications with matrix-based algorithms.\n\n
 This talk is based on joint work with Thomas Bendokat and Ralf Zimmermann.
LOCATION:https://epfl.zoom.us/j/84030108577?pwd=bHh2Z3J2YllvTWdteHA3MHhVcn
 IyUT09
STATUS:CONFIRMED
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