Robust manifold learning with CycleCut.
Michael GashlerTony R. MartinezPublished in: Connect. Sci. (2012)
Keyphrases
- graph laplacian
- manifold structure
- manifold learning
- laplacian eigenmaps
- low dimensional
- dimensionality reduction
- diffusion maps
- nonlinear dimensionality reduction
- geometric structure
- subspace learning
- semi supervised
- locality preserving
- dimension reduction
- high dimensional data
- high dimensional
- nonlinear manifold
- riemannian manifolds
- locally linear embedding
- discriminant projection
- manifold embedding
- manifold learning algorithm
- machine learning
- locality preserving projections
- head pose estimation
- geodesic distance
- singular value decomposition
- feature extraction
- computer vision