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» Dynamic and Static Influence Models on Starbucks Networks
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MMM
2007
Springer
105views Multimedia» more  MMM 2007»
15 years 4 months ago
Discovering User Information Goals with Semantic Website Media Modeling
In this work we present an approach to capture the total semantics in multimedia-multimodal web pages. Our research improves upon the state-ofthe-art with two key features: (1) cap...
Bibek Dev Bhattarai, Mike Wong, Rahul Singh
78
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CN
2004
163views more  CN 2004»
14 years 9 months ago
Highly reliable trust establishment scheme in ad hoc networks
Securing ad hoc networks in a fully self-organized way is effective and light-weight, but fails to accomplish trust initialization in many trust deficient scenarios. To overcome t...
Kui Ren, Tieyan Li, Zhiguo Wan, Feng Bao, Robert H...
IJAR
2002
102views more  IJAR 2002»
14 years 9 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
IPSN
2004
Springer
15 years 3 months ago
Lattice sensor networks: capacity limits, optimal routing and robustness to failures
We study network capacity limits and optimal routing algorithms for regular sensor networks, namely, square and torus grid sensor networks, in both, the static case (no node failu...
Guillermo Barrenechea, Baltasar Beferull-Lozano, M...
ASC
2008
14 years 9 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...