Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment.
Billy ChangUwe KrügerRafal KustraJunping ZhangPublished in: ICML (2) (2013)
Keyphrases
- canonical correlation analysis
- hilbert schmidt independence criterion
- canonical correlations
- nonlinear kernel
- feature space
- least squares
- partial least squares
- feature selection
- equivalence relationship
- kernel function
- kernel learning
- support vector
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- kernel matrix
- input space
- linear combination
- support vector machine
- training data
- clustering algorithm