Nyström M-Hilbert-Schmidt independence criterion.
Florian KalinkeZoltán SzabóPublished in: UAI (2023)
Keyphrases
- hilbert schmidt independence criterion
- feature space
- feature selection
- kernel matrix
- kernel learning
- spectral clustering
- theoretical analysis
- eigendecomposition
- kernel function
- kernel methods
- dimensionality reduction
- input space
- support vector regression
- small number
- detection algorithm
- data representation
- least squares
- feature vectors
- support vector