Low-Rank Kernel-Based Semisupervised Discriminant Analysis.
Baokai ZuKewen XiaShuidong DaiNelofar AslamPublished in: Appl. Comput. Intell. Soft Comput. (2016)
Keyphrases
- low rank
- discriminant analysis
- semi supervised
- kernel discriminant analysis
- semi supervised learning
- kernel matrix
- face recognition
- pairwise
- low rank matrix
- linear discriminant analysis
- labeled data
- active learning
- kernel methods
- feature extraction
- unsupervised learning
- supervised learning
- support vector
- missing data
- convex optimization
- linear combination
- kernel pca
- manifold learning
- pairwise constraints
- regression algorithm
- high dimensional data
- metric learning
- singular value decomposition
- kernel learning
- subspace learning
- kernel matrices
- kernel principal component analysis
- multiple kernel learning
- matrix factorization
- high dimensional
- support vector machine
- neural network