Keyphrases
- data distribution
- subspace learning
- face recognition
- high dimensional data
- dimensionality reduction
- principal component analysis
- linear subspace
- data points
- sparse representation
- manifold learning
- robust face recognition
- low dimensional
- data streams
- face images
- index structure
- data representation
- subspace learning algorithm
- discriminant analysis
- linear discriminant analysis
- nearest neighbor
- sparse coding
- subspace analysis
- locality preserving projections
- feature extraction
- data analysis
- fisher criterion
- graph embedding
- data sets
- computer vision
- semi supervised
- machine learning
- multi dimensional
- unsupervised learning
- dimension reduction
- high dimensionality
- facial expressions
- image data
- probabilistic model
- pairwise
- databases