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MM
2005
ACM
171views Multimedia» more  MM 2005»
14 years 2 months ago
Semantic manifold learning for image retrieval
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 relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 2 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
DOCENG
2009
ACM
13 years 6 months ago
Geometric consistency checking for local-descriptor based document retrieval
In this paper, we evaluate different geometric consistency schemes, which can be used in tandem with an efficient architecture, based on voting and local descriptors, to retrieve ...
Eduardo Valle, David Picard, Matthieu Cord
MM
2003
ACM
113views Multimedia» more  MM 2003»
14 years 2 months ago
R-Histogram: quantitative representation of spatial relations for similarity-based image retrieval
Representation of relative spatial relations between objects is required in many multimedia database applications. Quantitative representation of spatial relations taking into acc...
Yuhang Wang, Fillia Makedon
CVPR
2008
IEEE
14 years 10 months ago
Semi-supervised distance metric learning for Collaborative Image Retrieval
Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, rele...
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang