Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure.
Haitao GanNong SangXi ChenPublished in: ISNN (1) (2013)
Keyphrases
- squared error
- manifold structure
- semi supervised
- semi supervised learning
- manifold learning
- metric learning
- low rank
- loss function
- kernel matrix
- labeled data
- unlabeled data
- pairwise
- unsupervised learning
- sparse coding
- reproducing kernel hilbert space
- data points
- feature space
- supervised learning
- generative model
- low dimensional
- active learning
- support vector
- riemannian manifolds
- kernel function
- kernel methods
- dimensionality reduction
- gaussian process
- geometric structure
- machine learning
- spectral clustering
- learning problems
- training data
- transfer learning
- high dimensional