Choice of Kernel Function for Density Estimation.
Dimitri KazakosPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1980)
Keyphrases
- density estimation
- kernel function
- reproducing kernel hilbert space
- support vector
- kernel methods
- mixture model
- feature space
- support vector machine
- input space
- kernel matrix
- hyperplane
- optimal kernel
- gaussian mixture model
- kernel learning
- svm classifier
- feature set
- outlier detection
- support vectors
- high dimensional
- probability density function
- kernel machines
- density estimates
- classification accuracy