A Generative Approach to Open Set Recognition Using Distance-Based Probabilistic Anomaly Augmentation.
Joel GoodmanShahram SarkaniThomas A. MazzuchiPublished in: IEEE Access (2022)
Keyphrases
- generative model
- anomaly detection
- data driven
- probabilistic model
- data sets
- network traffic
- probabilistic interpretation
- bayesian networks
- distance measure
- semi supervised
- unsupervised learning
- intrusion detection
- euclidean distance
- outlier detection
- posterior probability
- detecting anomalies
- discriminative learning
- probability theory
- belief networks
- prior knowledge
- genetic algorithm