Multiscale anomaly detection using diffusion maps and saliency score.
Gal MishneIsrael CohenPublished in: ICASSP (2014)
Keyphrases
- anomaly detection
- diffusion maps
- multiscale
- manifold learning
- dimensionality reduction
- intrusion detection
- nonlinear dimensionality reduction
- detecting anomalies
- statistical learning
- anomalous behavior
- low dimensional
- semi supervised
- network intrusion detection
- action classification
- network traffic
- detect anomalies
- image representation
- image processing
- saliency map
- image segmentation
- network anomaly detection
- intrusion detection system
- one class support vector machines
- negative selection algorithm
- high dimensional data
- singular value decomposition
- keypoints
- locally linear embedding
- action recognition
- unsupervised learning
- high dimensional
- feature space
- data analysis
- pattern recognition