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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
MOBIHOC
2010
ACM
13 years 5 months ago
Breaking bidder collusion in large-scale spectrum auctions
Dynamic spectrum auction is an effective solution to provide spectrum on-demand to many small wireless networks. As the number of participants grows, bidder collusion becomes a se...
Xia Zhou, Haitao Zheng
TMM
2002
158views more  TMM 2002»
13 years 7 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
IRI
2008
IEEE
14 years 2 months ago
Model check stochastic supply chains
—Supply chain [2], [6] is an important component of business operations. Understanding its stochastic behaviors is the key to risk analysis and performance evaluation in supply c...
Li Tan, Shenghan Xu
CN
2008
97views more  CN 2008»
13 years 8 months ago
Towards real-time dynamic spectrum auctions
In this paper, we propose a low-complexity auction framework to distribute spectrum in real-time among a large number of wireless users with dynamic traffic. Our design consists o...
Sorabh Gandhi, Chiranjeeb Buragohain, Lili Cao, Ha...