On some global topological aspects of manifold learning.
Jonathan H. MantonNicolas Le BihanPublished in: ICIP (2017)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- high dimensional
- semi supervised
- dimensionality reduction
- subspace learning
- diffusion maps
- dimension reduction
- laplacian eigenmaps
- feature space
- high dimensional data
- feature extraction
- manifold learning algorithm
- locality preserving
- underlying manifold
- sparse representation
- head pose estimation
- discriminant projection
- manifold structure
- locally linear embedding
- geodesic distance
- principal component analysis
- data points
- data analysis
- pattern recognition