Principal component analysis based on graph embedding.
Fujiao JuYanfeng SunJianqiang LiYaxiao ZhangXinglin PiaoPublished in: Multim. Tools Appl. (2023)
Keyphrases
- graph embedding
- principal component analysis
- low dimensional
- dimensionality reduction
- discriminant analysis
- subspace learning
- linear discriminant analysis
- cross view
- feature extraction
- high dimensional data
- data representation
- dimension reduction
- manifold learning
- semi supervised
- feature representation
- face images
- data points
- covariance matrix
- discriminant embedding
- face recognition
- label information
- feature space
- unsupervised learning
- high dimensional
- data sets
- natural images
- prior knowledge
- dictionary learning
- pattern recognition
- multiscale
- training data