ROI Regularization for Semi-supervised and Supervised Learning.
Hiroshi KaizukaYasuhiro NagasakiRyo SakoPublished in: CoRR (2019)
Keyphrases
- semi supervised
- supervised learning
- regularization framework
- manifold regularization
- semi supervised learning
- region of interest
- unlabeled data
- unsupervised learning
- labeled data
- active learning
- multi view learning
- kernel machines
- pairwise
- learning problems
- multiple instance learning
- supervised classification
- supervised and unsupervised learning
- label propagation
- co training
- labeled examples
- partially labeled data
- semi supervised classification
- training examples
- palmprint
- manifold learning
- learning tasks
- training samples
- low rank
- regularization parameter
- image restoration
- unlabeled samples
- regularization method
- generalization error
- labeled and unlabeled data
- pairwise constraints
- regularization term
- statistical learning
- reproducing kernel hilbert space
- parameter selection
- learning algorithm
- feature extraction
- feature selection