Discriminative low-rank projection for robust subspace learning.
Zhihui LaiJiaqi BaoHeng KongMinghua WanGuowei YangPublished in: Int. J. Mach. Learn. Cybern. (2020)
Keyphrases
- low rank
- subspace learning
- semi supervised
- rank minimization
- low rank matrix
- high dimensional data
- low rank approximation
- robust face recognition
- dimensionality reduction
- convex optimization
- missing data
- matrix completion
- singular value decomposition
- linear combination
- matrix factorization
- kernel matrix
- manifold learning
- low dimensional
- data representation
- principal component analysis
- nearest neighbor
- feature extraction
- face recognition
- high order
- active learning
- background modeling
- data sets
- pairwise
- neural network
- learning algorithm
- multiscale
- supervised learning
- signal processing
- unsupervised learning
- generative model