Anomaly detection under distribution shift

Anomaly detection under distribution shift

Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studies assume that the training and test data are drawn from the same data distribution, but the test data can have...

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書目詳細資料
Main Authors:	CAO, Tri, ZHU, Jiawen, PANG, Guansong
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2023
主題:	Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/8415 https://ink.library.smu.edu.sg/context/sis_research/article/9418/viewcontent/Cao_Anomaly_Detection_Under_Distribution_Shift_ICCV_2023_paper.pdf
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機構:	Singapore Management University
語言:	English

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