Kernel Methods in Hyperbolic Spaces.
Pengfei FangMehrtash HarandiLars PeterssonPublished in: ICCV (2021)
Keyphrases
- kernel methods
- learning problems
- kernel function
- support vector
- machine learning
- support vector machine
- feature space
- similarity function
- learning tasks
- kernel matrix
- multiple kernel learning
- kernel trick
- kernel matrices
- kernel pca
- input space
- reproducing kernel hilbert space
- data mining
- special case
- kernel learning
- graph kernels
- high dimensional feature space
- multiple kernel
- kernel ridge regression
- kernel fisher discriminant analysis
- reproducing kernel