Hien Duy Pham

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—We present a semi-supervised learning algorithm based on local and global consistency, working on a bi-relational graph of images and labels. By incorporating two types of different entities (images and labels) in a single graph, label propagation can exploit label correlations for measuring the relevance between unannotated images and labels, leading to a(More)
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