Diffusion Maps for Embedded Manifolds with Boundary with Applications to PDEs.
Ryan VaughnTyrus BerryHarbir AntilPublished in: CoRR (2019)
Keyphrases
- diffusion maps
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- dimensionality reduction
- underlying manifold
- semi supervised
- partial differential equations
- dimension reduction
- high dimensional data
- high dimensional
- action classification
- locally linear embedding
- sparse representation
- statistical learning
- feature extraction
- geodesic distance
- feature space
- computer vision
- supervised learning
- riemannian manifolds
- data analysis
- level set
- medial axis