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KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 9 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
TCS
2008
13 years 8 months ago
Competitive graph searches
We exemplify an optimization criterion for divide-and-conquer algorithms with a technique called generic competitive graph search. The technique is then applied to solve two probl...
Binh-Minh Bui-Xuan, Michel Habib, Christophe Paul
CVPR
2008
IEEE
14 years 10 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 9 months ago
Using quotient graphs to model neutrality in evolutionary search
We introduce quotient graphs for modeling neutrality in evolutionary search. We demonstrate that for a variety of evolutionary computing problems, search can be characterized by g...
Dominic Wilson, Devinder Kaur
CVPR
2011
IEEE
13 years 4 months ago
Noise Resistant Graph Ranking for Improved Web Image Search
In this paper, we exploit a novel ranking mechanism that processes query samples with noisy labels, motivated by the practical application of web image search re-ranking where the...
Wei Liu, Yu-Gang Jiang, Jiebo Luo, Shih-Fu Chang