Applying Ricci flow to high dimensional manifold learning.
Yangyang LiRuqian LuPublished in: Sci. China Inf. Sci. (2019)
Keyphrases
- manifold learning
- high dimensional
- low dimensional
- dimensionality reduction
- high dimensional data
- nonlinear dimensionality reduction
- dimension reduction
- subspace learning
- high dimensionality
- feature space
- geodesic distance
- low dimensional manifolds
- semi supervised
- surface registration
- locally linear embedding
- embedding space
- similarity search
- parameter space
- shape analysis
- nearest neighbor
- euclidean space
- sparse coding
- tensor voting
- data points
- feature extraction
- riemannian manifolds
- image processing
- vector space