Graph Embedding: A General Framework for Dimensionality Reduction.
Shuicheng YanDong XuBenyu ZhangHongJiang ZhangPublished in: CVPR (2) (2005)
Keyphrases
- graph embedding
- dimensionality reduction
- low dimensional
- data representation
- high dimensional data
- high dimensional
- subspace learning
- principal component analysis
- pattern recognition
- semi supervised dimensionality reduction
- embedding space
- feature extraction
- semi supervised
- feature selection
- nonlinear dimensionality reduction
- dimensionality reduction methods
- unsupervised learning
- discriminant embedding
- discriminant analysis
- dimension reduction
- label information
- linear discriminant analysis
- euclidean distance
- feature space
- supervised dimensionality reduction
- manifold learning
- feature representation
- data points
- training set
- discriminant information
- high dimensionality
- machine learning