Keyphrases
- laplacian eigenmaps
- kernel function
- graph embedding
- support vector
- feature space
- kernel machines
- vector space
- nonlinear dimensionality reduction
- reproducing kernel hilbert space
- machine learning
- robust image watermarking
- mutual subspace method
- kernel space
- kernel density estimation
- kernel matrix
- kernel methods
- component analysis
- kernel learning
- multidimensional scaling
- input space
- positive definite
- kernel regression
- manifold learning
- similarity function
- special case
- learning algorithm
- data sets