Unsupervised manifold learning based on multiple feature spaces.
Mohammad Ali Zare ChahookiNasrollah Moghaddam CharkariPublished in: Mach. Vis. Appl. (2014)
Keyphrases
- manifold learning
- dimensionality reduction
- semi supervised
- low dimensional
- high dimensional
- feature space
- discriminant projection
- diffusion maps
- nonlinear dimensionality reduction
- high dimensional data
- subspace learning
- unsupervised learning
- manifold learning algorithm
- dimension reduction
- laplacian eigenmaps
- locality preserving
- head pose estimation
- manifold structure
- semi supervised learning
- feature extraction
- k means
- riemannian manifolds
- pattern recognition
- object recognition
- training set
- locally linear embedding
- dimensionality reduction methods
- principal component analysis
- cluster analysis
- image representation
- supervised learning