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We propose one-class support measure machines (OCSMMs) for group anomaly detection which aims at recognizing anomalous aggregate behaviors of data points. The OCSMMs generalize well-known one-class su...
Security Analysis of Online Centroid Anomaly Detection
Security Analysis Online Centroid Anomaly Detection
2010/3/11
Security issues are crucial in a number of machine learning applications, especially in
scenarios dealing with human activity rather than natural phenomena (e.g., information
ranking, spam detection...