Spectrum-Revealing Cholesky Factorization for Kernel Methods.
Jianwei XiaoMing GuPublished in: ICDM (2016)
Keyphrases
- kernel methods
- kernel matrix
- kernel function
- learning problems
- low rank
- support vector
- feature space
- machine learning
- kernel matrices
- reproducing kernel hilbert space
- support vector machine
- kernel learning
- kernel pca
- matrix factorization
- kernel trick
- kernel ridge regression
- learning tasks
- positive definite
- high dimensional feature space
- pairwise
- singular value decomposition
- positive semidefinite
- kernel based clustering
- multiple kernel learning
- svm classifier
- linear combination
- collaborative filtering
- feature extraction
- image processing