Alignments of Manifold Sections of Different Dimensions in Manifold Learning.
Qiang YeWeifeng ZhiPublished in: AAAI Fall Symposium: Manifold Learning and Its Applications (2010)
Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- manifold structure
- semi supervised
- dimensionality reduction
- diffusion maps
- manifold learning algorithm
- high dimensional
- feature extraction
- laplacian eigenmaps
- dimension reduction
- geodesic distance
- subspace learning
- nonlinear manifold
- intrinsic manifold
- sparse representation
- pairwise
- low dimensional manifolds
- high dimensional data
- locally linear embedding
- locality preserving projections
- data sets
- locality preserving
- learning algorithm
- machine learning
- head pose estimation
- dimensional data
- principal curves
- graph laplacian
- neighborhood graph
- latent space
- riemannian manifolds
- pattern recognition
- feature selection
- data mining