Manifold Learning Based on Straight-Like Geodesics and Local Coordinates.
Zhengming MaZengrong ZhanZijian FengJiajing GuoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- manifold learning
- geodesic distance
- low dimensional
- diffusion maps
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- laplacian eigenmaps
- high dimensional
- dimension reduction
- subspace learning
- feature extraction
- head pose estimation
- sparse representation
- manifold structure
- high dimensional data
- manifold learning algorithm
- locally linear embedding
- feature space
- locality preserving
- euclidean space
- semi supervised learning
- pattern recognition
- data mining