Get a Head Start: Targeted Labeling at Source with Limited Annotation Overhead for Semi-Supervised Learning.
Hui ZhuYongchun LüQin MaXunyi ZhouFen XiaGuoqing ZhaoNing JiangXiaofang ZhaoPublished in: ICME (2023)
Keyphrases
- semi supervised learning
- active learning
- label propagation
- semi supervised
- unsupervised learning
- labeled data
- unlabeled data
- supervised learning
- machine learning
- semi supervised classification
- co training
- text categorization
- manifold regularization
- graph based semi supervised learning
- semi supervised learning methods
- multiple sources
- partially labeled
- labeled examples
- improve the classification accuracy
- unlabeled samples
- regularization framework
- domain adaptation
- information extraction
- image annotation
- graph construction
- label information
- target domain
- training examples
- natural language processing
- training set
- object recognition
- pattern recognition
- training data
- image segmentation