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» A Utile Function Optimizer
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109
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CVPR
2007
IEEE
16 years 2 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
135
Voted
JSAC
2008
109views more  JSAC 2008»
14 years 10 months ago
Elastic service availability: utility framework and optimal provisioning
Service availability is one of the most closely scrutinized metrics in offering network services. It is important to cost-effectively provision a managed and differentiated networ...
Dahai Xu, Ying Li, Mung Chiang, A. Robert Calderba...
95
Voted
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 4 months ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
Haluk Topcuoglu, Murat Ermis
118
Voted
INFOCOM
2006
IEEE
15 years 6 months ago
Utility-Optimal Medium Access Control: Reverse and Forward Engineering
— This paper analyzes and designs medium access control (MAC) protocols for wireless ad-hoc networks through the network utility maximization (NUM) framework. We first reverse-e...
Jang-Won Lee, Mung Chiang, A. Robert Calderbank
ICNP
2005
IEEE
15 years 6 months ago
Priority Pricing in Utility Fair Networks
This paper deals with a new pricing approach in utility fair networks, where the user’s application is associated with a utility function. We allow users to have concave as well...
Tobias Harks, Tobias Poschwatta