Discriminative transfer regression for low-rank and sparse subspace learning.
Zhonghua LiuWeihua OuJinbo LiuKaibing ZhangZhihui LaiHao XiongPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- subspace learning
- low rank and sparse
- semi supervised
- dimensionality reduction
- low rank
- regression model
- signal recovery
- manifold learning
- data representation
- convex optimization
- unsupervised learning
- transfer learning
- sparse coding
- principal component analysis
- low dimensional
- sparse representation
- face recognition
- hierarchical bayesian model
- high dimensional data
- learning algorithm
- semi supervised learning
- model selection
- robust face recognition
- active learning
- small number
- feature selection
- computer vision