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» Large-scale Data Collection: a Coordinated Approach
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CVPR
2009
IEEE
14 years 1 months ago
Imbalanced RankBoost for efficiently ranking large-scale image/video collections
Ranking large scale image and video collections usually expects higher accuracy on top ranked data, while tolerates lower accuracy on bottom ranked ones. In view of this, we propo...
Michele Merler, Rong Yan, John R. Smith
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
14 years 7 months ago
Tagging Human Knowledge
A fundamental premise of tagging systems is that regular users can organize large collections for browsing and other tasks using uncontrolled vocabularies. Until now, that premise...
Paul Heymann, Andreas Paepcke, Hector Garcia-Molin...
TKDE
2012
190views Formal Methods» more  TKDE 2012»
12 years 6 days ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
ASWC
2008
Springer
13 years 11 months ago
SAOR: Authoritative Reasoning for the Web
Abstract. In this paper we discuss the challenges of performing reasoning on large scale RDF datasets from the Web. We discuss issues and practical solutions relating to reasoning ...
Aidan Hogan, Andreas Harth, Axel Polleres
CCGRID
2009
IEEE
14 years 4 months ago
BLAST Application with Data-Aware Desktop Grid Middleware
—There exists numerous Grid middleware to develop and execute programs on the computational Grid, but they still require intensive work from their users. BitDew is made to facili...
Haiwu He, Gilles Fedak, Bing Tang, Franck Cappello