Keyphrases
- manifold learning
- multiscale
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- semi supervised
- subspace learning
- dimension reduction
- natural images
- diffusion maps
- image representation
- head pose estimation
- high dimensional
- feature extraction
- laplacian eigenmaps
- high dimensional data
- image segmentation
- locality preserving
- feature space
- locality preserving projections
- sparse representation
- manifold structure
- manifold learning algorithm
- intrinsic manifold
- feature selection
- learning algorithm
- geodesic distance
- shape representation
- microarray
- data points
- pattern recognition
- machine learning
- discriminant projection
- data sets