Least Squares Generative Adversarial Networks-Based Anomaly Detection
Author:
Affiliation:
1. Quality Innovation Team, Global CS Center, Samsung Electronics, Suwon, South Korea
2. Department of Management Information Systems, Dong-A University, Busan, South Korea
3. Department of Global Business, Dong-A University, Busan, South Korea
Funder
Dong-A University Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09732473.pdf?arnumber=9732473
Reference31 articles.
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4. One-Class Convolutional Neural Network
5. Deep one-class classification;ruff;Proc 35th Int Conf Mach Learn,2018
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