Multi-feature multi-manifold learning for single-sample face recognition.
Haibin YanJiwen LuXiuzhuang ZhouYuanyuan ShangPublished in: Neurocomputing (2014)
Keyphrases
- manifold learning
- multi feature
- face recognition
- subspace learning
- discriminant embedding
- low dimensional
- sparse representation
- single feature
- dimensionality reduction
- dimension reduction
- multi class
- feature extraction
- image classification
- high dimensional
- semi supervised
- recognition rate
- principal component analysis
- feature fusion
- high dimensional data
- multiple features
- discriminant analysis
- feature selection
- linear discriminant analysis
- face images
- data points
- support vector
- multiscale
- feature space
- data analysis