Semi-Supervised Subspace Learning for Pattern Classification via Robust Low Rank Constraint.
Ao LiRuoqi AnDeyun ChenGuanglu SunXin LiuQidi WuHailong JiangPublished in: Mob. Networks Appl. (2020)
Keyphrases
- low rank
- pattern classification
- subspace learning
- semi supervised
- rank minimization
- high dimensional data
- robust face recognition
- pairwise constraints
- manifold learning
- semi supervised learning
- labeled data
- feature extraction
- dimensionality reduction
- matrix completion
- pairwise
- linear subspace
- linear combination
- active learning
- supervised learning
- pattern recognition
- convex optimization
- singular value decomposition
- unsupervised learning
- sparse coding
- graph embedding
- sparse representation
- matrix factorization
- missing data
- principal component analysis
- metric learning
- generative model
- dimension reduction
- low dimensional
- label information
- learning process
- high dimensional
- multiscale