TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning.
Wanqi YangYang GaoLongbing CaoPublished in: Comput. Vis. Image Underst. (2013)
Keyphrases
- anomaly detection
- intrusion detection
- network anomaly detection
- anomalous behavior
- network traffic
- intrusion detection system
- negative selection algorithm
- unsupervised learning
- level set
- markov random field
- object recognition
- pattern recognition
- network intrusion detection
- multi instance
- support vector
- bayesian networks
- data sets