Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD).
Shamshe AlamSanjay Kumar SonbhadraSonali AgarwalP. NagabhushanMuhammad TanveerPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- support vector data description
- density estimation
- novelty detection
- hyper sphere
- detection method
- kernel function
- multiple classifiers
- target class
- detecting outliers
- decision boundary
- improve the classification accuracy
- outlier detection
- machine learning
- statistical learning theory
- support vectors
- object detection
- semi supervised
- multi class
- negative samples
- decision trees