A Generalised Solution to the Out-of-Sample Extension Problem in Manifold Learning.
Harry StrangeReyer ZwiggelaarPublished in: AAAI (2011)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- diffusion maps
- feature extraction
- nonlinear dimensionality reduction
- high dimensional
- semi supervised
- dimension reduction
- high dimensional data
- subspace learning
- locality preserving
- locally linear embedding
- laplacian eigenmaps
- sparse representation
- learning algorithm
- active learning
- learning process
- preprocessing
- data analysis
- manifold learning algorithm