Feature consistency anomaly detection method based on adversarial training deep autoencoder

Author:

Lai Cheng1,Jia Peng Peng1

Affiliation:

1. Shanghai Maritime University,School of Logistic Engineering,Shanghai,China

Publisher

IEEE

Reference17 articles.

1. Deep autoencoding gaussian mixture model for unsupervised anomaly detection[C];zong;International Conference on Learning Representations,2018

2. Local and Global Outlier Detection Algorithms in Unsupervised Approach: A Review

3. Unsupervised anomaly detection with generative adversarial networks to guide marker discovery[C];schlegl;International Conference on Information Processing in Medical Imaging,2017

4. A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment

5. Deep Learning for Anomaly Detection

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