Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning.
Rongjie LaiJia LiPublished in: CoRR (2017)
Keyphrases
- image restoration
- semi supervised learning
- low rank
- semi supervised
- manifold structure
- regularization parameter
- regularization framework
- graph laplacian
- total variation
- convex optimization
- unlabeled data
- labeled data
- labeled and unlabeled data
- regularization term
- edge preserving
- matrix completion
- image processing
- markov random field
- super resolution
- active learning
- kernel matrix
- unsupervised learning
- matrix factorization
- pairwise
- missing data
- high order
- supervised learning
- blurred images
- multi view
- domain adaptation
- training data
- linear combination
- metric learning
- high dimensional
- machine learning
- singular value decomposition
- prior knowledge
- data sets
- feature space
- higher order
- high dimensional data