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69
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TOMCCAP
2010
101views more  TOMCCAP 2010»
14 years 9 months ago
Semi-supervised distance metric learning for collaborative image retrieval and clustering
Steven C. H. Hoi, Wei Liu, Shih-Fu Chang
CVPR
2008
IEEE
16 years 28 days 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
92
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ECCV
2008
Springer
16 years 24 days ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
MMS
2006
14 years 11 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
105
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PR
2006
164views more  PR 2006»
14 years 10 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung