Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection.
Jia-Xing ZhongNannan LiWeijie KongShan LiuThomas H. LiGe LiPublished in: CVPR (2019)
Keyphrases
- anomaly detection
- label noise
- active learning
- intrusion detection
- training data
- noise tolerant
- detecting anomalies
- noise model
- network traffic
- anomalous behavior
- network intrusion detection
- intrusion detection system
- negative selection algorithm
- network anomaly detection
- one class support vector machines
- detect anomalies
- multiple instance learning
- data mining
- data sets
- normal behavior
- semi supervised
- learning algorithm