Recursive Orthogonal Label Regression: A Framework for Semisupervised Dimension Reduction.
Shangbing GaoQiaolin YeLimin LuoZhigeng PanYunyang YanHao ZhengPublished in: Comput. Sci. Eng. (2017)
Keyphrases
- dimension reduction
- partial least squares
- feature extraction
- data mining and machine learning
- sparse metric learning
- high dimensional problems
- variable selection
- manifold embedding
- principal component analysis
- high dimensional data analysis
- support vector
- unsupervised learning
- random projections
- linear discriminant analysis
- regression algorithm
- neural network
- cluster analysis
- semi supervised
- feature space
- pattern recognition
- bayesian networks
- machine learning