Generative Models for Anomaly Detection and Its Applications

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Generative Models for Anomaly Detection and Its Applications

Anomaly detection is a process for distinguishing the observations that differ in some respect from the observations that the model is trained on. Anomaly detection is one of the fundamental requirements of a good classification or identification system since sometimes the test data contains observa...

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Bibliographic Details
Main Author:	Yu, Jongmin
Format:	Thesis
Published:	Curtin University 2020
Online Access:	http://hdl.handle.net/20.500.11937/89686

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