Keyphrases
- riemannian manifolds
- geodesic distance
- euclidean space
- reproducing kernel hilbert space
- gaussian processes
- riemannian metric
- geometric structure
- regression model
- shortest path
- multi class classification
- mean shift
- bayesian networks
- parameter space
- euclidean distance
- covariance matrices
- maximum likelihood
- vector space
- manifold learning
- distance transform
- feature space
- shape analysis
- gaussian mixture
- data points
- gaussian process
- model selection
- multi class
- kernel function
- loss function
- kernel methods
- support vector
- machine learning
- tangent space