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2010
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iRIN: image retrieval in image-rich information networks

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iRIN: image retrieval in image-rich information networks
In this demo, we present a system called iRIN designed for performing image retrieval in image-rich information networks. We first introduce MoK-SimRank to significantly improve the speed of SimRank, one of the most popular algorithms for computing node similarity in information networks. Next, we propose an algorithm called SimLearn to (1) extend MoK-SimRank to heterogeneous image-rich information network, and (2) account for both link-based and contentbased similarities by seamlessly integrating reinforcement learning with feature learning. Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing; H.3.3 [Information Storage and Retrieval]: Image Processing and Computer Vision General Terms Algorithms, Experimentation Keywords Image Retrieval, Information Network, Ranking
Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Josh
Added 14 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where WWW
Authors Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, Jiawei Han
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