Graph Construction with Label Information for Semi-Supervised Learning

8 Jul 2016Liansheng ZhuangZihan ZhouJingwen YinShenghua GaoZhouchen LinYi MaNenghai Yu

In the literature, most existing graph-based semi-supervised learning (SSL) 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... (read more)

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