Anomaly Detection in Metro Passenger Flow Based on Random Matrix Theory.
Xiaoxu ChenChao YangXiangdong XuYubing GongPublished in: ITSC (2019)
Keyphrases
- anomaly detection
- random matrix theory
- passenger flow
- distributed artificial intelligence
- correlation matrix
- intrusion detection
- network intrusion detection
- simulation model
- anomalous behavior
- detecting anomalies
- traffic flow
- network traffic
- network anomaly detection
- unsupervised anomaly detection
- one class support vector machines
- intrusion detection system
- unsupervised learning
- detecting anomalous
- network security
- behavior analysis
- multi agent
- network intrusion
- cumulative sum
- multi agent systems
- dimensionality reduction
- detect anomalies
- covariance matrix
- active learning
- object recognition
- multiagent systems
- normal behavior
- face recognition