Isometric Correction for Manifold Learning.
Behrouz BehmardiRaviv RaichPublished in: AAAI Fall Symposium: Manifold Learning and Its Applications (2010)
Keyphrases
- manifold learning
- dimensionality reduction
- low dimensional
- diffusion maps
- dimension reduction
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- laplacian eigenmaps
- subspace learning
- locality preserving
- manifold learning algorithm
- high dimensional data
- feature extraction
- head pose estimation
- intrinsic manifold
- manifold structure
- learning algorithm
- geodesic distance
- feature space
- data sets
- sparse representation
- image representation
- nearest neighbor
- low dimensional manifolds
- similarity measure
- computer vision