Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling.
Nicholas StergeBharath SriperumbudurLorenzo RosascoAlessandro RudiPublished in: AISTATS (2020)
Keyphrases
- kernel pca
- spectral clustering
- kernel matrix
- kernel methods
- kernel principal component analysis
- principal component analysis
- kernel function
- low rank approximation
- laplacian eigenmaps
- high order
- data clustering
- support vector machine
- pairwise
- feature space
- decision trees
- sample size
- input space
- training samples
- face recognition