Anomaly Detection in Single Subject vs Group Using Manifold Learning.
Florian TilquinSylvain FaisanFabrice HeitzVincent NobletFrédéric BlancIzzie NamerPublished in: ICASSP (2019)
Keyphrases
- anomaly detection
- manifold learning
- intrusion detection
- dimensionality reduction
- low dimensional
- anomalous behavior
- nonlinear dimensionality reduction
- network traffic
- network intrusion detection
- high dimensional
- detecting anomalies
- dimension reduction
- semi supervised
- intrusion detection system
- high dimensional data
- unsupervised learning
- one class support vector machines
- detect anomalies
- network anomaly detection
- subspace learning
- feature extraction
- computer vision
- negative selection algorithm
- pattern recognition
- bayesian networks
- image processing