Ellipsoidal Subspace Support Vector Data Description.
Fahad SohrabJenni RaitoharjuAlexandros IosifidisMoncef GabboujPublished in: IEEE Access (2020)
Keyphrases
- support vector data description
- novelty detection
- kernel function
- detection method
- multiple classifiers
- density estimation
- high dimensional data
- low dimensional
- dimensionality reduction
- feature space
- support vectors
- principal component analysis
- high dimensional
- target class
- decision trees
- detecting outliers
- feature extraction
- outlier detection
- support vector
- statistical learning theory
- principal components
- machine learning
- decision boundary
- improve the classification accuracy
- maximum likelihood