Regularized recursive least squares for anomaly detection in sparse channel tracking applications.
Behtash BabadiVahid TarokhPublished in: RACS (2011)
Keyphrases
- anomaly detection
- recursive least squares
- kalman filtering
- intrusion detection
- sparse pca
- kalman filter
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- neuro fuzzy
- intrusion detection system
- particle filter
- detect anomalies
- unsupervised learning
- object tracking
- particle filtering
- least squares
- adaptive filtering
- complex valued
- high dimensional
- neural network
- motion model
- genetic algorithm
- appearance model
- sparse representation
- video sequences
- machine learning