An Out-of-Sample Extension to Manifold Learning via Meta-Modeling.
Gülsen Taskin KayaMelba M. CrawfordPublished in: IEEE Trans. Image Process. (2019)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- subspace learning
- semi supervised
- laplacian eigenmaps
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- feature extraction
- diffusion maps
- locality preserving
- pairwise
- low dimensional manifolds
- locally linear embedding
- manifold structure
- head pose estimation
- manifold embedding
- nonlinear manifold
- image features
- active learning
- image retrieval
- manifold learning algorithm