Similarity-Based Active Learning for Image Classification Under Class Imbalance.
Chuanhai ZhangWallapak TavanapongGavin KijkulJohnny WongPiet C. de GroenJung-Hwan OhPublished in: ICDM (2018)
Keyphrases
- class imbalance
- active learning
- image classification
- cost sensitive learning
- image features
- imbalanced datasets
- semi supervised
- feature extraction
- binary classification
- cost sensitive
- majority class
- supervised learning
- learning algorithm
- unlabeled data
- training set
- small disjuncts
- training examples
- class distribution
- sampling methods
- multi label
- imbalanced class distribution
- imbalanced data classification
- machine learning
- imbalanced data
- labeled data
- generalization error
- random sampling
- misclassification costs
- pattern recognition
- semi supervised learning