Manifold Learning by Graduated Optimization.
Michael GashlerDan VenturaTony R. MartinezPublished in: IEEE Trans. Syst. Man Cybern. Part B (2011)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- low dimensional
- subspace learning
- diffusion maps
- dimension reduction
- high dimensional data
- manifold structure
- feature extraction
- manifold learning algorithm
- geodesic distance
- high dimensional
- feature space
- head pose estimation
- laplacian eigenmaps
- sparse representation
- object recognition
- manifold embedding
- semi supervised learning
- image classification
- machine learning
- discriminant projection
- intrinsic manifold