An Explicit Sparse Mapping for Nonlinear Dimensionality Reduction.
Ying XiaQiang LuJiangFan FengHae-Young BaePublished in: RSKT (2014)
Keyphrases
- nonlinear dimensionality reduction
- mapping function
- manifold learning
- dimensionality reduction
- high dimensional data
- high dimensional
- low dimensional
- underlying manifold
- diffusion maps
- sparse representation
- laplacian eigenmaps
- maximum variance unfolding
- locally linear embedding
- dimensionality reduction methods
- random projections
- riemannian manifolds
- subspace learning
- principal component analysis
- feature selection
- discriminant analysis
- feature space
- similarity measure