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DTSTART;TZID=Europe/Bucharest:20190801T100000
DTEND;TZID=Europe/Bucharest:20190801T233000
DTSTAMP:20260426T225834
CREATED:20190729T061912Z
LAST-MODIFIED:20190729T061912Z
UID:435-1564653600-1564702200@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Deep RPCA
DESCRIPTION:Speaker:  Andrei Pătrașcu (University of Bucharest) \n\nAbstract: We continue our adventure by investigating existing results with Robust Principal Component Analysis (RPCA) and its adaptation to existing deep neural networks. \nRequired reading: \nZHOU\, Chong; PAFFENROTH\, Randy C. Anomaly detection with robust deep autoencoders. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM\, 2017. p. 665-674. \nCANDÈS\, Emmanuel J.\, et al. Robust principal component analysis?. Journal of the ACM (JACM)\, 2011\, 58.3: 11.
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-deep-rpca/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
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