Compensating for the Lack of Extra Training Data by Learning Extra Representation.
Hyeonseong JeonSiho HanSangwon LeeSimon S. WooPublished in: ACCV (6) (2020)
Keyphrases
- learning algorithm
- training data
- learning problems
- reinforcement learning
- multiple representations
- learning process
- prior knowledge
- supervised learning
- knowledge acquisition
- learning tasks
- active learning
- online learning
- unsupervised learning
- training set
- negative examples
- positive examples
- learning scheme
- machine learning
- domain adaptation
- incremental learning
- decision trees
- test set
- image representation