Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise.
Jian WuVictor S. ShengJing ZhangHua LiTetiana DadakovaChristine Leon SwisherZhiming CuiPengpeng ZhaoPublished in: ACM Comput. Surv. (2020)
Keyphrases
- multi label
- image classification
- learning tasks
- learning algorithm
- multi label classification
- visual features
- binary classification
- image annotation
- multi instance
- feature extraction
- multi label learning
- image representation
- machine learning algorithms
- text categorization
- image features
- graph cuts
- machine learning
- learning problems
- svm classifier
- active learning
- multiple labels
- supervised learning
- cost sensitive
- label assignment
- label space
- computer vision
- training data
- hierarchical text categorization
- multi modal
- base learners
- maximum margin
- data points
- text classification