A Representation-Enhanced Anomaly Detection Model With Prototype Learning and Neighborhood Rough Set.
Anomaly detection (AD) has attracted increasing attention because of its importance in identifying unusual patterns across widely applications. Existing reconstruction-based AD methods have shown strong capability in modeling complex data distributions, but still face several limitations. First, most methods assume tha...