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SUMMARY:Manolis Tsakiris (Chinese Academy of Sciences)
DTSTART:20230208T100000Z
DTEND:20230208T110000Z
DTSTAMP:20260423T021100Z
UID:CompAlg/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CompAlg/4/">
 Unlabelled Principal Component Analysis</a>\nby Manolis Tsakiris (Chinese 
 Academy of Sciences) as part of Machine Learning Seminar\n\n\nAbstract\nTh
 is talk will consider the problem of recovering a matrix of bounded rank f
 rom a corrupted version of it\, where the corruption consists of an unknow
 n permutation of the matrix entries. Exploiting the theory of Groebner bas
 es for determinantal ideals\, recovery theorems will be given. For a speci
 al instance of the problem\, an algorithmic pipeline will be demonstrated\
 , which employs methods for robust principal component analysis with respe
 ct to outliers and methods for linear regression without correspondences.\
 n
LOCATION:https://researchseminars.org/talk/CompAlg/4/
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