Manifold Learning and Nonlinear Homogenization.
Shi ChenQin LiJianfeng LuStephen J. WrightPublished in: Multiscale Model. Simul. (2022)
Keyphrases
- manifold learning
- nonlinear manifold learning
- low dimensional manifolds
- nonlinear manifold
- principal curves
- feature mapping
- low dimensional
- manifold embedding
- nonlinear dimensionality reduction
- dimensionality reduction
- dimension reduction
- semi supervised
- high dimensional
- head pose estimation
- subspace learning
- diffusion maps
- feature space
- sparse representation
- locality preserving projections
- high dimensional data
- geodesic distance
- locality preserving
- machine learning
- manifold learning algorithm
- laplacian eigenmaps
- feature extraction
- embedding space
- manifold structure
- multiscale
- discriminant projection
- intrinsic dimensionality
- locally linear embedding
- knn
- data points
- underlying manifold
- training data
- data sets