Manifold Learning: The Price of Normalization.
Yair GoldbergAlon ZakaiDan KushnirYaacov RitovPublished in: J. Mach. Learn. Res. (2008)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- nonlinear dimensionality reduction
- subspace learning
- diffusion maps
- high dimensional
- semi supervised
- high dimensional data
- head pose estimation
- locality preserving
- laplacian eigenmaps
- dimension reduction
- feature extraction
- preprocessing
- feature space
- sparse representation
- pattern recognition
- data sets
- manifold learning algorithm
- high dimensionality
- support vector machine
- data points
- low dimensional manifolds
- active learning
- image processing
- learning algorithm