Incremental Nonlinear Dimensionality Reduction by Manifold Learning.
Martin H. C. LawAnil K. JainPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2006)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- low dimensional
- dimensionality reduction
- diffusion maps
- laplacian eigenmaps
- dimension reduction
- feature mapping
- high dimensional
- semi supervised
- locally linear embedding
- high dimensional data
- subspace learning
- manifold structure
- feature extraction
- principal component analysis
- low dimensional manifolds
- feature space
- sparse representation
- geodesic distance
- pairwise
- covariance matrix