70 citations · 142 across the 20 of their papers we have counts for
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cs.LG2016★ 6 cited
Dual Teaching: A Practical Semi-supervised Wrapper Method
Fuqaing Liu, Chenwei Deng, Fukun Bi +1
Semi-supervised wrapper methods are concerned with building effective supervised classifiers from partially labeled data. Though previous works have succeeded in some fields, it is…
cs.CV2016
Boost Picking: A Universal Method on Converting Supervised Classification to Semi-supervised Classification
Fuqiang Liu, Fukun Bi, Yiding Yang +1
This paper proposes a universal method, Boost Picking, to train supervised classification models mainly by un-labeled data. Boost Picking only adopts two weak classifiers to estima…