MÆIDM: multi-scale anomaly embedding inpainting and discrimination for surface anomaly detection.
Siyu ShengJunfeng JingXintian JiaoYafei WangZhenyu DongPublished in: Mach. Vis. Appl. (2023)
Keyphrases
- anomaly detection
- multiscale
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- network intrusion detection
- network anomaly detection
- detecting anomalous
- behavior analysis
- detect anomalies
- unsupervised anomaly detection
- one class support vector machines
- anomaly based intrusion detection
- image processing
- computer security
- image segmentation
- feature selection
- network intrusion
- unsupervised learning
- probabilistic model
- decision trees
- cumulative sum