Sparse Optimization for Second Order Kernel Methods.
Roland VollgrafKlaus ObermayerPublished in: IJCNN (2006)
Keyphrases
- kernel methods
- kernel matrices
- multiple kernel
- kernel function
- support vector
- learning problems
- feature space
- learning tasks
- support vector machine
- kernel matrix
- machine learning
- kernel trick
- kernel machines
- high dimensional
- high dimensional feature space
- graph kernels
- kernel learning
- sparse representation
- kernel ridge regression
- reproducing kernel hilbert space
- multiple kernel learning
- linear combination
- similarity function
- high order
- data sets
- kernel pca
- kernel principal component analysis
- sparse coding
- kernel fisher discriminant analysis
- kernel based clustering