Kernel Interpolation with Sparse Grids.
Mohit YadavDaniel SheldonCameron MuscoPublished in: CoRR (2023)
Keyphrases
- sparse sampling
- sparse kernel
- additive models
- cubic convolution
- kernel methods
- kernel matrices
- kernel function
- sparse data
- image interpolation
- feature space
- multiple kernel
- high dimensional
- interpolation methods
- support vector
- kernel regression
- regularized least squares
- interpolation algorithm
- positive semi definite
- grid points
- interpolation method
- reproducing kernel hilbert space
- component analysis
- grid computing
- sparse coding
- linear combination
- linear interpolation
- sparse matrix
- kernel machines
- compressed sensing
- kernel matrix
- multi class
- mutual subspace method