On Positive Semidefinite Modification Schemes for Incomplete Cholesky Factorization.
Jennifer A. ScottMiroslav TumaPublished in: SIAM J. Sci. Comput. (2014)
Keyphrases
- positive semidefinite
- kernel matrix
- low rank
- missing data
- semidefinite programming
- kernel methods
- metric learning
- kernel function
- linear combination
- matrix factorization
- singular value decomposition
- convex optimization
- positive semidefinite matrices
- similarity function
- semidefinite
- feature space
- input space
- missing values
- support vectors
- reproducing kernel hilbert space
- kernel pca
- training samples
- model selection
- pairwise
- support vector
- high order
- ls svm
- semi supervised
- data points
- interior point methods
- high dimensional