Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps
Alexander V. BernsteinAlexander P. KuleshovPublished in: CoRR (2012)
Keyphrases
- manifold learning
- riemannian manifolds
- euclidean space
- low dimensional
- discriminant analysis
- subspace learning
- dimensionality reduction
- nonlinear dimensionality reduction
- grassmann manifold
- cross domain
- geodesic distance
- semi supervised
- linear subspace
- high dimensional
- diffusion maps
- high dimensional data
- dimension reduction
- manifold structure
- feature extraction
- data points
- head pose estimation
- sparse representation
- principal component analysis
- graph embedding
- feature space
- laplacian eigenmaps
- euclidean distance
- data sets
- vector space
- metric space
- input data
- active learning
- principal curves
- pattern recognition