Semi-supervised Dimension Reduction Using Graph-Based Discriminant Analysis.
Gaksoo LimCheong Hee ParkPublished in: CIT (1) (2009)
Keyphrases
- dimension reduction
- discriminant analysis
- semi supervised
- linear discriminant analysis
- principal component analysis
- feature extraction
- unsupervised learning
- cluster analysis
- face recognition
- semi supervised learning
- dimensionality reduction
- feature space
- manifold learning
- partial least squares
- labeled data
- active learning
- pairwise
- unlabeled data
- discriminative information
- high dimensional data
- fisher discriminant analysis
- support vector machine svm
- random projections
- support vector
- low dimensional
- pairwise constraints
- dimension reduction methods
- subspace learning
- supervised learning
- null space
- sparse coding
- graph embedding
- clustering method
- metric learning
- neural network
- machine learning