An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.
Shifan ZhaoTianshi XuHua HuangEdmond ChowYuanzhe XiPublished in: SIAM J. Sci. Comput. (2024)
Keyphrases
- kernel matrices
- kernel matrix
- kernel methods
- low rank
- kernel function
- low rank approximation
- kernel learning
- semidefinite programming
- matrix factorization
- metric learning
- positive semidefinite
- input space
- feature space
- support vectors
- eigendecomposition
- reproducing kernel hilbert space
- least squares
- linear combination
- multiple kernel learning
- model selection
- spectral clustering
- ls svm
- machine learning
- training set
- singular value decomposition
- theoretical analysis
- convex optimization
- training samples
- semi supervised
- high dimensional
- manifold learning
- learning problems