2 papers
cs.LG2026
Interpretable Multi-Hypersphere Deep Anomaly Detection for Open-set Supervised Anomaly Detection
Zhiji Yang, Fangyong Wang, Yue Li +2
Multi-class open-set anomaly detection requires a model to characterize the normal acceptance domain formed by multiple heterogeneous subdistributions using only class-labeled samp…
cs.LG2026
Interpretable Maximum Margin Deep Anomaly Detection
Zhiji Yang, Mei Huang, Xinyu Li +3
Anomaly detection is a crucial machine-learning task with wide-ranging applications. Deep Support Vector Data Description (Deep SVDD) is a prominent deep one-class method, but it i…