Label Information Guided Graph Construction for Semi-Supervised Learning
Label Information Guided Graph Construction for Semi-Supervised Learning
复制标题
半监督学习的标签信息引导图构建
DOI:
10.1109/tip.2017.2703120
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发表时间:
2017-05
影响因子:
10.6
通讯作者:
Ma Yi
中科院分区:
文献类型:
--
作者:
Zhuang Liansheng;Zhou Zihan;Gao Shenghua;Yin Jingwen;Lin Zhouchen;Ma Yi
In the literature, most existing graph-based semi-supervised learning methods only use the label information of observed samples in the label propagation stage, while ignoring such valuable information when learning the graph. In this paper, we argue that it is beneficial to consider the label information in the graph learning stage. Specifically, by enforcing the weight of edges between labeled samples of different classes to be zero, we explicitly incorporate the label information into the state-of-the-art graph learning methods, such as the low-rank representation (LRR), and propose a novel semi-supervised graph learning method called semi-supervised low-rank representation. This results in a convex optimization problem with linear constraints, which can be solved by the linearized alternating direction method. Though we take LRR as an example, our proposed method is in fact very general and can be applied to any self-representation graph learning methods. Experiment results on both synthetic and real data sets demonstrate that the proposed graph learning method can better capture the global geometric structure of the data, and therefore is more effective for semi-supervised learning tasks.
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影响因子:
10.6
作者:
Cheng, Bin;Yang, Jianchao;Huang, Thomas S.
通讯作者:
Huang, Thomas S.
DOI:
10.1109/cvpr.2012.6247944
发表时间:
2012-06
期刊:
2012 IEEE Conference on Computer Vision and Pattern Recognition
影响因子:
--
作者:
Liansheng Zhuang;Haoyuan Gao;Zhouchen Lin;Yi Ma;Xin Zhang;Nenghai Yu
通讯作者:
Liansheng Zhuang;Haoyuan Gao;Zhouchen Lin;Yi Ma;Xin Zhang;Nenghai Yu
影响因子:
8.8
作者:
Feng, Zhixi;Ren, Yu;Liu, Hongying;Jiao, Licheng
通讯作者:
Jiao, Licheng
影响因子:
6
作者:
Yaoguo Zheng;Xiangrong Zhang;Shuyuan Yang;Licheng Jiao
通讯作者:
Licheng Jiao
DOI:
10.1145/2487788.2487905
发表时间:
2013-05
期刊:
Proceedings of the 22nd International Conference on World Wide Web
影响因子:
--
作者:
Youngki Park;Sungchan Park;Sang-goo Lee;Woosung Jung
通讯作者:
Youngki Park;Sungchan Park;Sang-goo Lee;Woosung Jung