Continuous nonlinear dimensionality reduction by kernel Eigenmaps.
Matthew BrandPublished in: IJCAI (2003)
Keyphrases
- nonlinear dimensionality reduction
- laplacian eigenmaps
- mapping function
- manifold learning
- dimensionality reduction
- low dimensional
- high dimensional data
- maximum variance unfolding
- riemannian manifolds
- locally linear embedding
- kernel function
- feature space
- cross domain
- kernel pca
- dimensionality reduction methods
- kernel methods
- input space
- machine learning
- subspace learning
- neural network
- transfer learning