Kernel recursive maximum correntropy with Nyström approximation.
Shiyuan WangLujuan DangGuobing QianYunxiang JiangPublished in: Neurocomputing (2019)
Keyphrases
- kernel matrix
- kernel methods
- eigendecomposition
- kernel function
- low rank approximation
- low rank matrix approximation
- feature space
- theoretical analysis
- spectral clustering
- approximation algorithms
- polynomial kernels
- series expansion
- support vector
- closed form
- learning algorithm
- multiple kernel learning
- maximum error
- manifold learning
- convolution kernel
- machine learning
- matrix approximation
- approximation methods
- positive definite
- datalog programs
- graph kernels
- kernel pca
- reproducing kernel hilbert space
- gaussian processes
- metric learning
- error bounds
- singular value decomposition
- model selection
- image segmentation