Deep Structured Energy Based Models for Anomaly Detection

25 May 2016Shuangfei ZhaiYu ChengWeining LuZhongfei Zhang

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), where the energy function is the output of a deterministic deep neural network with structure... (read more)

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