Keyphrases
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- laplacian eigenmaps
- dimensionality reduction
- diffusion maps
- dimension reduction
- feature extraction
- subspace learning
- high dimensional data
- head pose estimation
- locality preserving
- sparse representation
- latent space
- geodesic distance
- computer vision
- feature space
- discriminant projection
- data sets
- manifold learning algorithm
- manifold structure
- locally linear embedding
- euclidean space
- signal processing
- least squares
- multiscale
- machine learning