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cs.LG2022★ 13 cited
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
Rui She, Pingyi Fan
In order to introduce deep learning technologies into anomaly detection, Generative Adversarial Networks (GANs) are considered as important roles in the algorithm design and realis…
cs.LG2020★ 1 cited
MIM-Based GAN: Information Metric to Amplify Small Probability Events Importance in Generative Adversarial Networks
Rui She, Pingyi Fan
In terms of Generative Adversarial Networks (GANs), the information metric to discriminate the generative data from the real data, lies in the key point of generation efficiency, w…