Manifold Based Low-Rank Regularization for Image Restoration and Semi-Supervised Learning.
Rongjie LaiJia LiPublished in: J. Sci. Comput. (2018)
Keyphrases
- image restoration
- semi supervised learning
- low rank
- semi supervised
- manifold structure
- regularization parameter
- graph laplacian
- regularization framework
- total variation
- unlabeled data
- labeled data
- convex optimization
- regularization term
- labeled and unlabeled data
- markov random field
- edge preserving
- super resolution
- supervised learning
- matrix factorization
- image processing
- unsupervised learning
- active learning
- kernel matrix
- pairwise
- matrix completion
- missing data
- linear combination
- domain adaptation
- high order
- training data
- low dimensional
- machine learning
- euclidean space
- multi view
- singular value decomposition
- blurred images
- image segmentation
- metric learning
- high dimensional data
- high dimensional
- training set
- feature space
- higher order
- prior knowledge
- collaborative filtering
- natural images
- image reconstruction