ADFA: Attention-Augmented Differentiable Top-K Feature Adaptation for Unsupervised Medical Anomaly Detection.
Yiming HuangGuole LiuYaoru LuoGe YangPublished in: ICIP (2023)
Keyphrases
- anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- novelty detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- behavior analysis
- detecting anomalous
- detect anomalies
- intrusion detection system
- supervised learning
- query processing
- negative selection algorithm
- semi supervised
- feature vectors
- network anomaly detection
- network security
- computer security
- machine learning
- network intrusion
- one class support vector machines
- feature extraction
- neural network
- self organizing maps
- information extraction
- high dimensional
- feature selection
- data assimilation
- cumulative sum