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Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2626295
Abstract: Rare category detection aims to find interesting and statistically significant anomalies and incorporates ideas from active learning and semisupervised learning. The challenge of rare category detection is to find the rare classes of the anomalies…
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Keywords:
prior free;
category;
rare category;
semisupervised prior ... See more keywords
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Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2911941
Abstract: To identify the data examples of rare categories that form small compact clusters in large data sets, existing approaches mostly require enough labeled data examples as a training set to learn a classifier, assuming that…
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Keywords:
math;
rare category;
inline formula;
data examples ... See more keywords