Graph Embedding and Extensions: A General Framework for Dimensionality Reduction.
Shuicheng YanDong XuBenyu ZhangHongJiang ZhangQiang YangStephen LinPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2007)
Keyphrases
- graph embedding
- dimensionality reduction
- low dimensional
- data representation
- discriminant analysis
- semi supervised dimensionality reduction
- high dimensional data
- high dimensional
- semi supervised
- subspace learning
- pattern recognition
- embedding space
- feature space
- discriminant embedding
- principal component analysis
- label information
- linear discriminant analysis
- high dimensionality
- feature selection
- manifold learning
- feature extraction
- dictionary learning
- data points
- neural network
- dimension reduction
- feature representation
- support vector
- supervised dimensionality reduction
- semi supervised learning
- unsupervised learning
- discriminant information
- decision trees