Manifold learning by preserving distance orders.
Esra Ataer CansizogluMurat AkçakayaUmut OrhanDeniz ErdogmusPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- manifold learning
- geodesic distance
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- semi supervised
- neighborhood graph
- diffusion maps
- high dimensional
- subspace learning
- feature extraction
- distance function
- dimension reduction
- distance measure
- laplacian eigenmaps
- high dimensional data
- manifold learning algorithm
- head pose estimation
- low dimensional manifolds
- locality preserving
- discriminant projection
- manifold structure
- locally linear embedding
- sparse representation
- preprocessing
- nearest neighbor
- manifold embedding
- nonlinear manifold
- multiscale