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» Data Integration: Where Does the Time Go
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AAAI
2012
11 years 9 months ago
Far Out: Predicting Long-Term Human Mobility
Much work has been done on predicting where is one going to be in the immediate future, typically within the next hour. By contrast, we address the open problem of predicting huma...
Adam Sadilek, John Krumm
INFOCOM
2005
IEEE
14 years 1 months ago
dPAM: a distributed prefetching protocol for scalable asynchronous multicast in P2P systems
— We leverage the buffering capabilities of end-systems to achieve scalable, asynchronous delivery of streams in a peer-to-peer environment. Unlike existing cache-and-relay schem...
Abhishek Sharma, Azer Bestavros, Ibrahim Matta
FLAIRS
2006
13 years 8 months ago
Agile Sensor Networks: Adaptive Coverage via Mobile Nodes
Advances in sensing and communication technology make sensor networks a convenient and cost effective tool for collecting data in hard to reach and hazardous areas Increasingly, s...
Swapna Ghanekar, Fatma Mili, Imad Elhajj
UAI
2000
13 years 8 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
Frank Wittig, Anthony Jameson
JSAC
2010
105views more  JSAC 2010»
13 years 2 months ago
Multi-Cell MIMO Cooperative Networks: A New Look at Interference
This paper presents an overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks. In dense network...
David Gesbert, Stephen V. Hanly, Howard Huang, Shl...