Learning from massive noisy labeled data for image classification.
Tong XiaoTian XiaYi YangChang HuangXiaogang WangPublished in: CVPR (2015)
Keyphrases
- labeled data
- supervised learning
- image classification
- active learning
- learning algorithm
- domain adaptation
- semi supervised learning
- semi supervised
- training data
- unlabeled data
- labeled and unlabeled data
- learning process
- co training
- reinforcement learning
- transfer learning
- supervised learning algorithms
- feature engineering
- prior knowledge
- text classification
- sample selection bias
- learning tasks
- labeling effort
- labeled instances
- learning problems
- background knowledge
- class labels
- knowledge discovery
- labeling process
- data analysis
- feature extraction
- decision trees
- feature selection