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» Learning Distance Functions for Image Retrieval
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ICMCS
2005
IEEE
178views Multimedia» more  ICMCS 2005»
14 years 1 months ago
On the Earth Mover's Distance as a histogram similarity metric for image retrieval
In this paper, the performance of the Earth Mover’s Distance (EMD) vs χ2 distance as histogram similarity metrics for image retrieval is evaluated experimentally. Ground truth ...
Zhenghua Yu, Gunawan Herman
ECCV
2008
Springer
14 years 9 months 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
ICASSP
2007
IEEE
14 years 1 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi
SSDBM
2009
IEEE
116views Database» more  SSDBM 2009»
14 years 2 months ago
Constraint-Based Learning of Distance Functions for Object Trajectories
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
Wei Yu, Michael Gertz
MM
2009
ACM
203views Multimedia» more  MM 2009»
14 years 4 days ago
Distance metric learning from uncertain side information with application to automated photo tagging
Automated photo tagging is essential to make massive unlabeled photos searchable by text search engines. Conventional image annotation approaches, though working reasonably well o...
Lei Wu, Steven C. H. Hoi, Rong Jin, Jianke Zhu, Ne...