Applications of No-Collision Transportation Maps in Manifold Learning.
Elisa NegriniLevon NurbekyanPublished in: SIAM J. Math. Data Sci. (2024)
Keyphrases
- manifold learning
- dimensionality reduction
- semi supervised
- nonlinear dimensionality reduction
- low dimensional
- diffusion maps
- high dimensional
- dimension reduction
- subspace learning
- laplacian eigenmaps
- feature extraction
- high dimensional data
- locally linear embedding
- neural network
- sparse representation
- pattern recognition
- riemannian manifolds
- geodesic distance
- locality preserving
- data sets
- head pose estimation
- nonlinear manifold