Label Information Guided Graph Construction for Semi-Supervised Learning
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 infor...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 9 vom: 25. Sept., Seite 4182-4192
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| 1. Verfasser: |
Zhuang, Liansheng
(VerfasserIn) |
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| Weitere Verfasser: |
Zhou, Zihan,
Gao, Shenghua,
Yin, Jingwen,
Lin, Zhouchen,
Ma, Yi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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