Strict positive definiteness of convolutional and axially symmetric kernels on d-dimensional spheres.
Martin D. BuhmannJanin JägerPublished in: CoRR (2021)
Keyphrases
- positive definite
- kernel function
- covariance matrix
- multi dimensional
- positive and negative
- kernel methods
- diffusion tensor
- geometric structure
- kernel matrix
- reproducing kernel hilbert space
- deep learning
- linear combination
- graphical models
- neural network
- feature space
- high dimensional
- gaussian processes
- support vector
- dimensional data
- kernel learning
- kernel machines
- semi parametric
- machine learning