Implicitly Constrained Semi-Supervised Linear Discriminant Analysis.
Jesse H. KrijtheMarco LoogPublished in: CoRR (2014)
Keyphrases
- linear discriminant analysis
- semi supervised
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- feature extraction
- dimension reduction
- subspace learning
- support vector machine svm
- semi supervised learning
- discriminative information
- discriminant features
- support vector
- high dimensional data
- labeled data
- null space
- small sample size
- subspace methods
- fisher criterion
- scatter matrix
- unsupervised learning
- supervised learning
- pairwise
- feature space
- linear discriminant
- generalized discriminant analysis
- unlabeled data
- active learning
- metric learning
- class separability
- pattern recognition
- training data
- pairwise constraints
- scatter matrices
- learning algorithm
- data sets