Kernel Learning with Hilbert-Schmidt Independence Criterion.
Tinghua WangWei LiXianwen HePublished in: CCPR (1) (2016)
Keyphrases
- kernel learning
- hilbert schmidt independence criterion
- kernel function
- multiple kernel learning
- kernel matrix
- support vector regression
- kernel methods
- semi supervised
- dimensionality reduction
- pairwise constraints
- learning tasks
- low rank
- feature selection
- metric learning
- multi task learning
- small number
- convex optimization
- distance function
- support vector machine svm
- active learning
- pairwise