Subspace learning for unsupervised feature selection via adaptive structure learning and rank approximation.
Ronghua ShangKaiming XuLicheng JiaoPublished in: Neurocomputing (2020)
Keyphrases
- subspace learning
- structure learning
- unsupervised feature selection
- dimensionality reduction
- bayesian networks
- graphical models
- feature selection
- manifold learning
- principal component analysis
- data representation
- sparse representation
- conditional independence
- data clustering
- low dimensional
- high dimensional data
- transfer learning
- sparse coding
- face recognition
- high dimensional
- learning algorithm
- semi supervised
- linear discriminant analysis
- training data
- natural images
- data mining
- probabilistic model
- feature extraction
- machine learning