Semi-supervised linear discriminant analysis for dimension reduction and classification.
Sheng WangJianfeng LuXingjian GuHaishun DuJing-Yu YangPublished in: Pattern Recognit. (2016)
Keyphrases
- dimension reduction
- linear discriminant analysis
- principal component analysis
- discriminative information
- discriminant analysis
- semi supervised
- feature extraction
- support vector machine svm
- small sample size
- face recognition
- dimensionality reduction
- manifold learning
- feature space
- high dimensional data
- feature selection
- high dimensionality
- high dimensional
- support vector
- principal components analysis
- partial least squares
- null space
- singular value decomposition
- unsupervised learning
- semi supervised learning
- random projections
- qr decomposition
- low dimensional
- supervised learning
- principle component analysis
- preprocessing
- scatter matrices
- metric learning
- subspace learning
- active learning
- pairwise
- supervised dimensionality reduction
- cluster analysis
- knn
- pattern recognition
- image processing