Visual anomaly detection from small samples for mobile robots.
Hiroharu KatoTatsuya HaradaYasuo KuniyoshiPublished in: IROS (2012)
Keyphrases
- anomaly detection
- small samples
- mobile robot
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- intrusion detection system
- detecting anomalous
- model selection
- sample size
- accurate models
- detect anomalies
- network anomaly detection
- unsupervised learning
- negative selection algorithm
- feature selection
- regression trees
- one class support vector machines
- neural network
- optical flow
- training data