Keyphrases
- linear discriminant analysis
- image classification
- semi supervised
- feature extraction
- discriminant analysis
- semi supervised learning
- principal component analysis
- face recognition
- dimension reduction
- labeled data
- dimensionality reduction
- discriminant features
- small sample size
- feature space
- unlabeled data
- pairwise
- support vector machine svm
- active learning
- image features
- image representation
- pairwise constraints
- discriminative information
- manifold learning
- support vector
- unsupervised learning
- supervised learning
- linear discriminant
- sparse representation
- subspace learning
- high dimensional data
- null space
- pattern recognition
- fisher criterion
- scatter matrix
- metric learning
- sparse coding
- svm classifier
- low dimensional
- face images
- computer vision
- graph embedding
- multi class
- machine learning
- neural network