Spectral refinement based on superconvergent Nyström and degenerate kernel methods.
Chafik AllouchDriss SbibihM. TahrichiPublished in: Appl. Math. Comput. (2012)
Keyphrases
- kernel methods
- kernel matrix
- kernel function
- learning problems
- support vector
- reproducing kernel hilbert space
- machine learning
- support vector machine
- eigendecomposition
- feature space
- spectral clustering
- positive definite
- theoretical analysis
- kernel trick
- learning tasks
- kernel pca
- kernel learning
- kernel matrices
- kernel ridge regression
- kernel machines
- manifold learning
- high dimensional feature space
- multiple kernel learning
- input space
- graph kernels
- semi supervised
- data points
- multiple kernel
- similarity measure
- neural network