Continual Rare-Class Recognition with Emerging Novel Subclasses

@inproceedings{Nguyen2019ContinualRR,
  title={Continual Rare-Class Recognition with Emerging Novel Subclasses},
  author={Hung T. Nguyen and Xuejian Wang and Leman Akoglu},
  booktitle={ECML/PKDD},
  year={2019}
}
Given a labeled dataset that contains a rare (or minority) class of of-interest instances, as well as a large class of instances that are not of interest, how can we learn to recognize future of-interest instances over a continuous stream? We introduce RaRecognize, which (i) estimates a general decision boundary between the rare and the majority class, (ii) learns to recognize individual rare subclasses that exist within the training data, as well as (iii) flags instances from previously unseen… 

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