Flexible multi-view semi-supervised learning with unified graph

At present, the diversity of data acquisition boosts the growth of multi-view data and the lack of label information. Since manually labeling is expensive and impractical, it is practical to enhance learning performance with a small amount of labeled data and a large amount of unlabeled data. In thi...

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Bibliographic Details
Published inNeural networks Vol. 142; pp. 92 - 104
Main Authors Li, Zhongheng, Qiang, Qianyao, Zhang, Bin, Wang, Fei, Nie, Feiping
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 01.10.2021
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