Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost.
Mingfei GaoZizhao ZhangGuo YuSercan Ömer ArikLarry S. DavisTomas PfisterPublished in: ECCV (10) (2020)
Keyphrases
- active learning
- semi supervised
- active learning strategies
- cost sensitive
- semi supervised learning
- unlabeled data
- labeled data
- label propagation
- supervised learning
- learning strategies
- cost sensitive learning
- training examples
- unsupervised learning
- machine learning
- labeled examples
- learning algorithm
- random sampling
- batch mode
- unlabeled examples
- selective sampling
- semi supervised clustering
- learning process
- data sets
- training set
- total cost
- experimental design
- semi supervised classification
- multi class
- pool based active learning
- pairwise constraints
- co training
- relevance feedback
- image segmentation
- labeled and unlabeled data
- training data
- sample selection
- incremental learning
- batch mode active learning