Low-Rank Discriminative Adaptive Graph Preserving Subspace Learning.
Haishun DuYuxi WangFan ZhangYi ZhouPublished in: Neural Process. Lett. (2020)
Keyphrases
- low rank
- subspace learning
- semi supervised
- high dimensional data
- low rank approximation
- dimensionality reduction
- manifold learning
- singular value decomposition
- linear combination
- missing data
- matrix factorization
- convex optimization
- background modeling
- active learning
- data representation
- sparse coding
- supervised learning
- kernel matrix
- pairwise
- principal component analysis
- unsupervised learning
- feature extraction
- robust face recognition
- metric learning
- linear subspace
- image segmentation
- high order
- generative model
- sparse representation
- low dimensional
- higher order
- high dimensional
- adjacency matrix
- face recognition
- data sets
- data analysis