Keyphrases
- manifold learning
- euclidean space
- low dimensional
- low dimensional spaces
- dimensionality reduction
- manifold embedding
- vector space
- high dimensional data
- high dimensional
- semi supervised
- nonlinear dimensionality reduction
- feature space
- riemannian manifolds
- manifold structure
- principal component analysis
- latent space
- data points
- protein complexes
- higher dimensional
- low dimensional manifolds
- feature extraction
- shape analysis
- multi type
- metric space
- face recognition
- hilbert space
- natural image patches
- endoscopic video
- principal curves
- head pose estimation
- finite dimensional
- critical points
- subspace clustering
- dimension reduction
- distance measure