2 papers
stat.ML2018
Anomaly Detection via Graphical Lasso
Haitao Liu, Randy C. Paffenroth, Jian Zou +1
Anomalies and outliers are common in real-world data, and they can arise from many sources, such as sensor faults. Accordingly, anomaly detection is important both for analyzing th…
cs.LG2018
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou +4
Outlier detection is an important topic in machine learning and has been used in a wide range of applications. In this paper, we approach outlier detection as a binary-classificati…