A Representation-Enhanced Anomaly Detection Model With Prototype Learning and Neighborhood Rough Set.
A representation-enhanced AD model with prototype learning and neighborhood rough set (ADPLN) is proposed, which outperforms the state-of-the-art methods and designs a sample-prototype correlation objective function to promote the learning of discriminative representations of normals and mitigate the negative impacts o...