Deep Structured Energy Based Models for Anomaly Detection

Shuangfei Zhai, Yu Cheng, Weining Lu +1

In this paper, we attack the anomaly detection problem by directly modeling the data distribution with deep architectures. We propose deep structured energy based models (DSEBMs),…