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DTSTAMP;TZID=America/Vancouver:20221209T120000
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UID:20221209T120000@prima2022.primamath.org
SUMMARY:Getting more with less: matrix and tensor algorithms from subsampling modes
DESCRIPTION:We will discuss variants of matrix and tensor CUR decompositions and algorithms for Robust PCA and matrix completion that allow one to observe only submatrices or subtensors of the data. By subsampling modes, we can obtain algorithms with state-of-the-art runtime for these tasks. Sample applications to image and video processing will be discussed.
STATUS:CONFIRMED
LOCATION:Junior Ballroom C
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