Fast Support Vector Data Description Using K-Means Clustering.
Pyo Jae KimHyung Jin ChangDong Sung SongJin Young ChoiPublished in: ISNN (3) (2007)
Keyphrases
- support vector data description
- novelty detection
- detection method
- kernel function
- multiple classifiers
- density estimation
- target class
- detecting outliers
- decision boundary
- training speed
- detection algorithm
- outlier detection
- decision trees
- support vectors
- mixture model
- image classification
- statistical learning theory
- support vector machine
- probabilistic model