FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection.
Keith NotoCarla E. BrodleyDonna K. SlonimPublished in: Data Min. Knowl. Discov. (2012)
Keyphrases
- semi supervised
- unsupervised anomaly detection
- anomaly detection
- image features
- labeled data
- semi supervised learning
- pairwise
- feature vectors
- lower bound
- feature importance
- multi view
- unlabeled data
- pairwise constraints
- active learning
- unsupervised learning
- computer vision
- intrusion detection
- metric learning
- supervised learning
- manifold learning
- data sets
- upper bound
- feature space
- e learning
- machine learning