Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection.
Ronghua ShangKaiming XuFanhua ShangLicheng JiaoPublished in: Knowl. Based Syst. (2020)
Keyphrases
- subspace learning
- feature selection
- dimensionality reduction
- robust face recognition
- sparse coding
- sparse representation
- high dimensional
- manifold learning
- low dimensional
- least squares
- graph embedding
- data representation
- feature space
- feature extraction
- support vector machine
- semi supervised
- face recognition
- principal component analysis
- learning algorithm
- machine learning
- high dimensionality
- high dimensional data
- unsupervised learning
- natural images
- text classification
- image processing
- nearest neighbor