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Manifold-ranking based image retrieval
2004
Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ranking algorithm to explore the relationship among all the data points in the feature space, and then measures relevance between the query and all the images in the database accordingly, which is different from traditional similarity metrics based on pair-wise distance. In relevance feedback, if only positive examples
doi:10.1145/1027527.1027531
dblp:conf/mm/HeLZTZ04
fatcat:hovtimqynrgznjsnrfllq2iazm