Boosting semi-supervised learning with Contrastive Complementary Labeling.
Qinyi DengYong GuoZhibang YangHaolin PanJian ChenPublished in: Neural Networks (2024)
Keyphrases
- semi supervised learning
- label propagation
- boosting framework
- unsupervised learning
- active learning
- semisupervised learning
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- machine learning
- co training
- partially labeled
- partially labeled data
- semi supervised classification
- manifold regularization
- semi supervised learning algorithms
- learning algorithm
- labeled examples
- text categorization
- feature selection
- training data
- learning problems
- graph based semi supervised learning
- improve the classification accuracy
- ensemble methods
- image segmentation
- base classifiers
- pairwise
- boosting algorithms
- object recognition
- semantic segmentation
- labeled and unlabeled data
- learning models
- text classification
- information retrieval
- multi view
- decision trees
- semi supervised learning methods
- face recognition
- feature extraction
- reinforcement learning
- cost sensitive
- object detection