Semi-supervised Uncertain Linear Discriminant Analysis.
Guowan ShaoFanmao LiuChunjiang PengPublished in: PRCV (3) (2020)
Keyphrases
- linear discriminant analysis
- semi supervised
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- small sample size
- discriminant features
- semi supervised learning
- subspace learning
- labeled data
- support vector
- feature space
- feature extraction
- null space
- unlabeled data
- unsupervised learning
- fisher criterion
- high dimensional data
- active learning
- pairwise
- support vector machine svm
- linear discriminant
- manifold learning
- subspace methods
- supervised learning
- data sets
- scatter matrix
- pairwise constraints
- discriminative information
- qr decomposition
- class separability
- generalized discriminant analysis
- graph embedding
- metric learning
- independent component analysis
- low dimensional
- least squares
- high dimensional
- learning algorithm