Local discriminative based sparse subspace learning for feature selection.
Ronghua ShangYang MengWenbing WangFanhua ShangLicheng JiaoPublished in: Pattern Recognit. (2019)
Keyphrases
- subspace learning
- feature selection
- dimensionality reduction
- discriminative subspace
- sparse representation
- sparse coding
- unsupervised learning
- discriminative features
- low rank approximation
- high dimensional
- feature extraction
- semi supervised
- feature space
- high dimensionality
- manifold learning
- data representation
- low dimensional
- high dimensional data
- machine learning
- principal component analysis
- linear subspace
- image classification
- feature set
- learning algorithm
- face recognition
- pattern recognition
- text classification
- image patches
- support vector machine
- generative model
- model selection
- dimension reduction
- knn
- signal processing
- discriminative learning
- singular value decomposition
- image representation
- bayesian networks
- computer vision
- canonical correlations
- subspace learning algorithm
- data mining