Dimensionality reduction using graph-embedded probability-based semi-supervised discriminant analysis.
Wei LiQiuqi RuanJun WanPublished in: Neurocomputing (2014)
Keyphrases
- graph embedding
- discriminant analysis
- semi supervised
- dimensionality reduction
- linear discriminant analysis
- dimensionality reduction methods
- principal component analysis
- subspace learning
- feature extraction
- kernel discriminant analysis
- face recognition
- semi supervised learning
- label information
- manifold learning
- low dimensional
- labeled data
- data representation
- unsupervised learning
- class separability
- high dimensional data
- fisher discriminant analysis
- high dimensional
- unlabeled data
- discriminant projection
- pairwise
- supervised learning
- null space
- dimension reduction
- nearest neighbor
- active learning
- discriminant information
- high dimensionality
- pattern recognition
- discriminant subspace
- machine learning
- training data
- generalized linear
- fisher criterion
- feature space
- text classification
- pairwise constraints
- metric learning
- distance measure