Domain Transfer Dimensionality Reduction via Discriminant Kernel Learning.
Ming ZengJiangtao RenPublished in: PAKDD (2) (2012)
Keyphrases
- kernel learning
- dimensionality reduction
- learning tasks
- transfer learning
- multiple kernel learning
- support vector regression
- principal component analysis
- kernel function
- kernel matrix
- cross domain
- feature extraction
- semi supervised
- kernel methods
- kernel trick
- high dimensional data
- metric learning
- data sets
- low dimensional
- pattern recognition
- pairwise constraints
- principal components
- input space
- data representation
- high dimensional
- multi task
- feature space
- multi class
- least squares
- spectral clustering
- discriminant analysis
- distance metric