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Semi-supervised learning (SSL) concerns the problem of how to improve classifiers’ performance through making use of prior knowledge from unlabeled data. Many SSL methods have been developed to integrate unlabeled data into the classifiers based on either the manifold or cluster assumption in recent years. In particular, the graph-based approaches, following the manifold assumption, have achieved...
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