Manifold Learning and Nonlinear Homogenization.
Shi ChenQin LiJianfeng LuStephen J. WrightPublished in: CoRR (2020)
Keyphrases
- manifold learning
- nonlinear manifold learning
- nonlinear manifold
- feature mapping
- principal curves
- low dimensional manifolds
- manifold embedding
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- dimensionality reduction
- diffusion maps
- dimension reduction
- subspace learning
- head pose estimation
- laplacian eigenmaps
- sparse representation
- high dimensional data
- geodesic distance
- manifold learning algorithm
- locality preserving
- underlying manifold
- feature extraction
- manifold structure
- feature space
- latent space
- discriminant projection
- machine learning
- active learning
- computer vision