A Feature Space Expression to Analyze Dependency of Korean Clauses with a Composite Kernel.
Sang-Soo KimSeong-Bae ParkSang-Jo LeeKweonyang KimPublished in: ALPIT (2007)
Keyphrases
- feature space
- kernel function
- input space
- kernel methods
- high dimensional
- kernel space
- classification accuracy
- support vector machine
- feature selection
- dot product
- class separability
- high dimensionality
- low dimensional
- kernel matrix
- high dimensional feature space
- feature vectors
- search space
- feature extraction
- visual words
- first order logic
- dimensionality reduction
- image representation
- kernel trick
- metric learning
- kernel pca
- generalized discriminant analysis
- mean shift
- training set
- polynomial kernels
- principal component analysis
- kernel principal component analysis
- dimension reduction
- linear discriminant analysis
- riemannian manifolds
- horn clauses
- feature set
- input data
- data points
- training samples
- background knowledge