Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data
Author:
Affiliation:
1. Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2027040
Reference38 articles.
1. Ambrogioni, Luca, Umut Güçlü, Marcel A. J. van Gerven, and Eric Maris. 2017. “The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables.” Preprint arXiv:1705.07111
2. Amin, Mohammad Ruhul, Pranav Garg, and Baris Coskun. 2019. “CADENCE: Conditional Anomaly Detection for Events using Noise-contrastive Estimation.” In Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, London, United Kingdom, 71–82.
3. UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking
4. Support high-order tensor data description for outlier detection in high-dimensional big sensor data
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