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X-ORIGINAL-URL:https://sal.cs.unibuc.ro
X-WR-CALDESC:Events for SECURITY & APPLIED LOGIC
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TZID:Europe/Bucharest
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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART:20190331T010000
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DTSTART:20191027T010000
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DTSTART:20200329T010000
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DTSTART:20201025T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190830T100000
DTEND;TZID=Europe/Bucharest:20190830T233000
DTSTAMP:20260426T213215
CREATED:20190827T051705Z
LAST-MODIFIED:20190827T053239Z
UID:441-1567159200-1567207800@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Gaussian Mixture Models
DESCRIPTION:Speaker: Andrei Pătrașcu (University of Bucharest) \n\nAbstract: We continue our adventure by investigating existing results using Gaussian Mixture Models (GMM) for anomaly detection and their adaptation to existing deep neural networks. \nRequired reading: \nZong\, Bo\, et al. “Deep autoencoding gaussian mixture model for unsupervised anomaly detection.” (2018). \nChapter 11 from Deisenroth\, Marc Peter\, A. Aldo Faisal\, and Cheng Soon Ong. “Mathematics for Machine Learning.” (2018).
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-gaussian-mixture-models/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
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