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» Maximal Intersection Queries in Randomized Graph Models
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CVPR
2010
IEEE
14 years 4 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
TCOM
2010
109views more  TCOM 2010»
13 years 6 months ago
Results on Finite Wireless Networks on a Line
Abstract— Today, due to the vast amount of literature on largescale wireless networks, we have a fair understanding of the asymptotic behavior of such networks. However, in real ...
Ali Eslami, Mohammad Nekoui, Hossein Pishro-Nik
SIGIR
2009
ACM
14 years 2 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
CIVR
2010
Springer
299views Image Analysis» more  CIVR 2010»
13 years 10 months ago
Co-reranking by mutual reinforcement for image search
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...
Ting Yao, Tao Mei, Chong-Wah Ngo
SSDBM
2010
IEEE
133views Database» more  SSDBM 2010»
13 years 5 months ago
PrefIndex: An Efficient Supergraph Containment Search Technique
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, H...