Extending out-of-sample manifold learning via meta-modelling techniques.
Gülsen Taskin KayaMelba M. CrawfordPublished in: IGARSS (2017)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- semi supervised
- high dimensional
- nonlinear dimensionality reduction
- diffusion maps
- laplacian eigenmaps
- dimension reduction
- high dimensional data
- feature extraction
- subspace learning
- locally linear embedding
- manifold learning algorithm
- manifold structure
- head pose estimation
- geodesic distance
- manifold embedding
- data sets
- discriminant projection
- nonlinear manifold
- locality preserving
- low dimensional manifolds
- embedding space
- pattern recognition
- support vector
- computer vision