Sparse semi-supervised learning on low-rank kernel.
Kai ZhangQiaojun WangLiang LanYu SunIvan MarsicPublished in: Neurocomputing (2014)
Keyphrases
- low rank
- semi supervised learning
- semi supervised
- kernel matrix
- low rank matrix
- kernel machines
- labeled data
- unlabeled data
- kernel learning
- multiple kernel learning
- supervised learning
- linear combination
- active learning
- unsupervised learning
- convex optimization
- learning problems
- matrix completion
- missing data
- pairwise
- metric learning
- matrix factorization
- kernel methods
- machine learning
- transfer learning
- singular value decomposition
- sparse coding
- feature space
- generative model
- data sets
- kernel function
- domain adaptation
- pattern recognition
- labeled and unlabeled data
- pairwise constraints
- high dimensional
- support vector
- singular values
- training data
- graph construction
- image segmentation
- small number