Semantic manifold learning for image retrieval

Abstract

Learning the user's semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relations specified in the feedback. Given that, we propose an augmented relation embedding (ARE) to map the image space into a semantic manifold that faithfully grasps the user's… (More)
DOI: 10.1145/1101149.1101193

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