Subspace learning-based graph regularized feature selection.
Ronghua ShangWenbing WangRustam StolkinLicheng JiaoPublished in: Knowl. Based Syst. (2016)
Keyphrases
- subspace learning
- dimensionality reduction
- feature selection
- manifold learning
- graph embedding
- data representation
- low dimensional
- high dimensional data
- face recognition
- principal component analysis
- feature space
- sparse coding
- semi supervised
- machine learning
- feature extraction
- least squares
- dimension reduction
- maximum margin criterion
- text classification
- unsupervised learning
- feature set
- high dimensionality
- learning algorithm
- sparse representation
- high dimensional
- pattern recognition
- input data
- singular value decomposition
- linear discriminant analysis
- discriminant analysis
- support vector machine
- training set
- support vector
- image processing