Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels.
Sadeep JayasumanaRichard I. HartleyMathieu SalzmannHongdong LiMehrtash Tafazzoli HarandiPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2015)
Keyphrases
- riemannian manifolds
- kernel methods
- gaussian kernel
- reproducing kernel hilbert space
- support vector
- feature space
- support vector machine
- kernel function
- radial basis function
- euclidean space
- covariance matrices
- kernel matrix
- learning problems
- multi class classification
- kernel pca
- machine learning
- manifold learning
- neural network
- mean shift
- geometric structure
- support vector machine svm
- vector space
- learning tasks
- parameter space
- gaussian distribution
- positive definite
- training data
- multiple kernel learning
- special case
- gaussian mixture model
- classification accuracy
- loss function
- geodesic distance
- feature selection
- input space