Keyphrases
- manifold learning
- nonlinear manifold learning
- hyperspectral
- principal curves
- nonlinear manifold
- low dimensional manifolds
- manifold embedding
- feature mapping
- hyperspectral images
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- dimension reduction
- semi supervised
- laplacian eigenmaps
- head pose estimation
- subspace learning
- high dimensional
- feature extraction
- diffusion maps
- high dimensional data
- manifold learning algorithm
- independent component analysis
- spectral analysis
- blind source separation
- underlying manifold
- sparse representation
- multispectral
- manifold structure
- locally linear embedding
- pattern recognition
- machine learning
- hyperspectral imagery
- least squares
- feature space
- riemannian manifolds
- component analysis
- support vector