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SUMMARY:Patrizio Frosini (Bologna)
DTSTART:20230322T100000Z
DTEND:20230322T110000Z
DTSTAMP:20260423T021031Z
UID:CompAlg/11
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CompAlg/11/"
 >Some recent results on the theory of GENEOs and its application to Machin
 e Learning</a>\nby Patrizio Frosini (Bologna) as part of Machine Learning 
 Seminar\n\n\nAbstract\nGroup equivariant non-expansive operators (GENEOs) 
 have been introduced a few years ago as mathematical tools for approximati
 ng data observers when data are represented by real-valued or vector-value
 d functions. The use of these operators is based on the assumption that th
 e interpretation of data depends on the geometric properties of the observ
 ers. In this talk we will illustrate some recent results in the theory of 
 GENEOs\, showing how these operators can make available a new approach to 
 topological data analysis and geometric deep learning.\n
LOCATION:https://researchseminars.org/talk/CompAlg/11/
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