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May, 2016
深度结构化能量模型在异常检测中的应用
Deep Structured Energy Based Models for Anomaly Detection
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Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
TL;DR
本研究提出了深度结构化能量模型,其中能量函数是具有结构的确定性深度神经网络的输出,该模型可以应用于不同类型数据的结构,通过训练算法提高异常检测准确性。
Abstract
In this paper, we attack the
anomaly detection
problem by directly modeling the
data distribution
with deep architectures. We propose
deep struct
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