17 citations · 17 across the 3 of their papers we have counts for
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cs.LG2019
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection
Xiao Han, Zihao Wang, Enmei Tu +2
Deep learning demands a huge amount of well-labeled data to train the network parameters. How to use the least amount of labeled data to obtain the desired classification accuracy…
cs.LG2019★ 17 cited
A Review of Semi Supervised Learning Theories and Recent Advances
Enmei Tu, Jie Yang
Semi-supervised learning, which has emerged from the beginning of this century, is a new type of learning method between traditional supervised learning and unsupervised learning.…