Manifold-aligned Neighbor Embedding.
Mohammad Tariqul IslamJason W. FleischerPublished in: CoRR (2022)
Keyphrases
- manifold embedding
- nonlinear dimensionality reduction
- graph embedding
- laplacian eigenmaps
- embedding space
- manifold learning
- geodesic distance
- low dimensional
- head pose estimation
- euclidean space
- vector space
- high dimensional
- dimensionality reduction
- low dimensional manifolds
- dimension reduction
- locality preserving projections
- geometric structure
- nearest neighbor
- riemannian manifolds
- kernel pca
- neural network
- semi supervised
- face recognition
- learning algorithm