JRCC-Net: A Segmentation Network With Joint Representation and Contrast Clustering for Surface Anomaly Detection.
Ruifan ZhangHao WangMingyao FengYikun LiuGongping YangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- anomaly detection
- network traffic
- network anomaly detection
- parametric representation
- detect anomalies
- intrusion detection
- network intrusion
- network intrusion detection
- unsupervised anomaly detection
- intrusion prevention
- detecting anomalies
- unsupervised learning
- intrusion detection system
- anomalous behavior
- self organizing maps
- image segmentation
- computer security
- detecting anomalous
- one class support vector machines
- normal behavior
- behavior analysis
- clustering analysis
- computer networks
- medical images
- malware detection
- training data
- k means
- clustering algorithm
- network security
- computer vision
- normal traffic
- neural network