Local Regression and Global Information-Embedded Dimension Reduction.
Chao YaoJunwei HanFeiping NieFu XiaoXuelong LiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- dimension reduction
- global information
- partial least squares
- principal component analysis
- feature extraction
- high dimensional
- high dimensional problems
- singular value decomposition
- high dimensional data
- structural information
- contextual information
- linear discriminant analysis
- manifold learning
- low dimensional
- variable selection
- cluster analysis
- feature space
- feature selection
- semantic information
- unsupervised learning
- high dimensionality
- model selection
- dimensionality reduction
- global knowledge
- regression algorithm
- sparse metric learning
- information retrieval
- preprocessing
- pattern recognition
- support vector
- learning algorithm