Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions

Hongying Liu, Hao Wang, Haoran Chu +1

An unsolved issue in widely used methods such as Support Vector Data Description (SVDD) and Small Sphere and Large Margin SVM (SSLM) for anomaly detection is their nonconvexity, wh…