Nyström Kernel Mean Embeddings.
Antoine ChatalicNicolas SchreuderAlessandro RudiLorenzo RosascoPublished in: CoRR (2022)
Keyphrases
- manifold learning
- kernel matrix
- kernel function
- hilbert space
- theoretical analysis
- kernel methods
- support vector
- low dimensional
- spectral clustering
- dimensionality reduction
- feature space
- kernel regression
- kernel machines
- kernel learning
- high dimensional data
- kernel space
- neural network
- convolution kernel
- sparse representation
- support vector machine
- high dimensional