Implicitly Constrained Semi-supervised Linear Discriminant Analysis.
Jesse H. KrijtheMarco LoogPublished in: ICPR (2014)
Keyphrases
- linear discriminant analysis
- semi supervised
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- discriminant features
- dimension reduction
- subspace learning
- semi supervised learning
- fisher criterion
- small sample size
- support vector machine svm
- feature space
- support vector
- feature extraction
- high dimensional data
- labeled data
- supervised learning
- unlabeled data
- active learning
- class separability
- subspace methods
- unsupervised learning
- discriminative information
- linear discriminant
- null space
- pairwise
- scatter matrices
- manifold learning
- data sets
- metric learning
- similarity measure
- scatter matrix
- qr decomposition
- logistic regression
- discriminant vectors
- pairwise constraints
- high dimensional
- decision trees