Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
Sadeep JayasumanaRichard I. HartleyMathieu SalzmannHongdong LiMehrtash Tafazzoli HarandiPublished in: CoRR (2014)
Keyphrases
- kernel methods
- riemannian manifolds
- gaussian kernel
- reproducing kernel hilbert space
- feature space
- support vector
- kernel function
- support vector machine
- radial basis function
- euclidean space
- covariance matrices
- learning problems
- kernel pca
- kernel matrix
- machine learning
- multi class classification
- neural network
- multiple kernel learning
- mean shift
- support vector machine svm
- covariance matrix
- feature vectors
- vector space
- parameter space
- hilbert space
- learning tasks
- positive definite
- feature extraction
- maximum likelihood
- domain adaptation
- pairwise
- geometric structure
- gaussian distribution
- feature selection
- learning algorithm
- learning theory
- input space
- probability density function