Robust Nonlinear Dimensionality Reduction for Manifold Learning.
Haifeng ChenGuofei JiangKenji YoshihiraPublished in: ICPR (2) (2006)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- diffusion maps
- dimensionality reduction
- low dimensional
- laplacian eigenmaps
- semi supervised
- high dimensional
- high dimensional data
- feature mapping
- subspace learning
- feature extraction
- dimension reduction
- locally linear embedding
- manifold structure
- sparse representation
- low dimensional manifolds
- geodesic distance
- data sets
- riemannian manifolds
- support vector machine svm
- image classification
- principal component analysis
- underlying manifold