Keyphrases
- mutual subspace method
- feature space
- kernel function
- kernel methods
- support vector
- high dimensional data
- metric space
- distance measure
- hilbert space
- distance metric
- kernel density estimate
- kernel regression
- component analysis
- lower dimensional
- kernel matrix
- low dimensional
- data points
- ensemble learning
- hausdorff distance
- positive definite
- principal component analysis
- canonical correlations
- grassmann manifold
- support vector machine
- euclidean distance
- subspace learning
- riemannian manifolds
- kernel machines
- dimensionality reduction
- convolution kernel