Anomaly Detection in Crowded Scenarios Using Local and Global Gaussian Mixture Models.
Adrián ToméLuis SalgadoPublished in: ACIVS (2017)
Keyphrases
- anomaly detection
- gaussian mixture model
- intrusion detection
- mixture model
- speaker recognition
- em algorithm
- detecting anomalies
- anomalous behavior
- network intrusion detection
- expectation maximization
- feature vectors
- maximum likelihood
- network traffic
- network anomaly detection
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection system
- speaker identification
- detecting anomalous
- negative selection algorithm
- cumulative sum
- one class support vector machines
- feature space
- real world
- network intrusion
- covariance matrices
- connectionist systems
- behavior analysis
- knowledge discovery
- active learning