Isometric Multi-manifold Learning for Feature Extraction.
Mingyu FanHong QiaoBo ZhangXiaoqin ZhangPublished in: ICDM (2012)
Keyphrases
- manifold learning
- feature extraction
- dimensionality reduction
- dimension reduction
- low dimensional
- semi supervised
- nonlinear dimensionality reduction
- laplacian eigenmaps
- diffusion maps
- manifold learning algorithm
- discriminant projection
- high dimensional
- pattern recognition
- head pose estimation
- manifold structure
- principal component analysis
- high dimensional data
- sparse representation
- locality preserving
- feature space
- subspace learning
- image classification
- discriminant analysis
- multiscale
- geodesic distance
- riemannian manifolds
- high dimensionality
- latent space
- pattern classification
- computer vision
- singular value decomposition
- support vector machine svm
- data points
- face recognition