Weakly-supervised deep anomaly detection with pairwise relation learning

This paper studies a rarely explored but critical anomaly detection problem: weakly-supervised anomaly detection with limited labeled anomalies and a large unlabeled data set. This problem is very important because it (i) enables anomalyinformed modeling which helps identify anomalies of interests a...

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Bibliographic Details
Main Authors: PANG, Guansong, HENGEL, Anton Van Den, SHEN, Chuanhua
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access:https://ink.library.smu.edu.sg/sis_research/7025
https://ink.library.smu.edu.sg/context/sis_research/article/8028/viewcontent/1910.13601v1.pdf
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Institution: Singapore Management University
Language: English

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