Parallel Transport Unfolding: A Connection-based Manifold Learning Approach.
Max BudninskiyGloria YinLeman FengYiying TongMathieu DesbrunPublished in: CoRR (2018)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- diffusion maps
- nonlinear dimensionality reduction
- subspace learning
- high dimensional
- semi supervised
- feature extraction
- high dimensional data
- manifold structure
- head pose estimation
- locality preserving
- manifold learning algorithm
- laplacian eigenmaps
- dimension reduction
- sparse representation
- pattern recognition
- locally linear embedding
- training set
- data analysis
- riemannian manifolds
- nearest neighbor
- data points
- object recognition
- nonlinear manifold
- discriminant projection
- discriminant embedding