Yong Tang

Semi-Supervised Multi-View SVDD via Manifold-Regularized Dictionary Learning for Anomaly Detection

Anomaly detection becomes considerably harder when labels are scarce and the data are described by several heterogeneous views. A handful of labelled samples rarely delineates the normal region well, and the unlabelled pool is itself often contaminated by anomalies, so treating unlabelled data as normal and feeding the...