UADB: Unsupervised Anomaly Detection Booster
Author:
Affiliation:
1. Jilin University,School of Artificial Intelligence,Changchun,China
2. University of Illinois Urbana-Champaign,Champaign,United States
3. Renmin University of China,Beijing,China
4. Microsoft Research,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184733.pdf?arnumber=10184733
Reference62 articles.
1. Gaussian Mixture Models
2. Deep autoencoding gaussian mixture model for unsupervised anomaly detection;zong;International Conference on Learning Representations,2018
3. Outlier detection in axis-parallel subspaces of high dimensional data;kriegel;Pacific-Asia Conference on Knowledge Discovery and Data Mining,2009
4. Fast Outlier Detection in High Dimensional Spaces
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