Subspace Support Vector Data Description.
Fahad SohrabJenni RaitoharjuMoncef GabboujAlexandros IosifidisPublished in: ICPR (2018)
Keyphrases
- hyperplane
- support vector data description
- kernel function
- feature space
- decision boundary
- support vectors
- input space
- data points
- high dimensional
- low dimensional
- novelty detection
- high dimensional data
- principal component analysis
- dimensionality reduction
- detection method
- training samples
- machine learning
- multiple classifiers
- feature extraction
- density estimation
- outlier detection
- gaussian mixture model
- supervised learning
- target class