An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots.
Dario MantegazzaAlessandro GiustiLuca Maria GambardellaJérôme GuzziPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- mobile robot
- intrusion detection
- novelty detection
- network intrusion detection
- network traffic
- detecting anomalies
- detecting anomalous
- anomalous behavior
- network anomaly detection
- computer security
- unsupervised anomaly detection
- unsupervised learning
- network security
- path planning
- behavior analysis
- one class support vector machines
- intrusion detection system
- detect anomalies
- network intrusion
- data mining
- neural network
- data sets
- hidden markov models
- data streams
- connectionist systems