Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment.
Yue CaoZhaolin WanDongwei RenZifei YanWangmeng ZuoPublished in: CoRR (2022)
Keyphrases
- semi supervised
- supervised learning
- semi supervised learning
- unsupervised learning
- learning algorithm
- active learning
- partially labeled data
- learning process
- labeled data
- unlabeled data
- learning systems
- boosting framework
- incremental learning
- feature selection
- reinforcement learning
- mobile learning
- learning tasks
- multi view
- learning scheme
- pattern languages
- positive and unlabeled examples
- training data
- boosted decision trees