Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances.
Charles FeffermanSergei IvanovMatti LassasHariharan NarayananPublished in: SIAM J. Math. Data Sci. (2020)
Keyphrases
- riemannian manifolds
- geometric structure
- geodesic distance
- euclidean space
- euclidean distance
- parameter space
- symmetric positive definite
- lie group
- distance measure
- feature space
- multi class classification
- covariance matrices
- vector space
- distance function
- high resolution
- positive definite
- distance transform
- manifold learning
- visual data
- point cloud
- loss function
- query processing
- objective function