A sampling theory for compact sets in Euclidean space.
Frédéric ChazalDavid Cohen-SteinerAndré LieutierPublished in: SCG (2006)
Keyphrases
- euclidean space
- metric space
- shape analysis
- euclidean distance
- low dimensional
- riemannian manifolds
- vector space
- data points
- discrete space
- dimensional euclidean space
- neural network
- pairwise distances
- geodesic distance
- similarity search
- high dimensional
- sample size
- geometrical structure
- multi dimensional scaling
- constant curvature
- lie group
- embedding space
- fisher information
- quadratic form
- image processing
- machine learning