Semi-supervised Tensor Graph-optimized Linear Discriminant Analysis for Two-dimensional Face Recognition.
Shuhua XuPublished in: J. Softw. (2013)
Keyphrases
- linear discriminant analysis
- face recognition
- semi supervised
- dimensionality reduction
- discriminant analysis
- subspace learning
- principal component analysis
- graph embedding
- discriminant features
- semi supervised learning
- subspace methods
- feature extraction
- dimension reduction
- small sample size
- feature space
- linear discriminant
- face images
- high dimensional data
- manifold learning
- discriminative information
- label information
- null space
- computer vision
- labeled data
- support vector machine svm
- support vector
- nonparametric discriminant analysis
- supervised dimensionality reduction
- pattern recognition
- pairwise
- active learning
- face detection
- low dimensional
- kernel discriminant analysis
- fisher criterion
- discriminant vectors
- face databases
- labeled and unlabeled data
- recognition rate
- generalized discriminant analysis
- facial images
- image processing
- scatter matrices
- feature selection
- neural network
- data sets
- subspace analysis
- pairwise constraints
- linear subspace
- data representation