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Anomaly Detection Reading Group: Gaussian Mixture Models
August 30, 2019 @ 10:00 am - 11:30 pm
Speaker: Andrei Pătrașcu (University of Bucharest)
Abstract: We continue our adventure by investigating existing results using Gaussian Mixture Models (GMM) for anomaly detection and their adaptation to existing deep neural networks.
Required reading:
Zong, Bo, et al. “Deep autoencoding gaussian mixture model for unsupervised anomaly detection.” (2018).
Chapter 11 from Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. “Mathematics for Machine Learning.” (2018).