Keyphrases
- euclidean space
- low dimensional
- shape analysis
- high dimensional
- data points
- riemannian manifolds
- dimensionality reduction
- vector space
- principal component analysis
- manifold learning
- euclidean distance
- dimensional euclidean space
- metric space
- pairwise distances
- multi dimensional scaling
- geodesic distance
- feature space
- discrete space
- high dimensional data
- multidimensional scaling
- fisher information
- linear subspace
- embedding space
- geometrical structure
- quadratic form
- constant curvature
- subspace learning
- computer vision
- image processing
- log euclidean
- pattern recognition
- data sets