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INFOCOM
2009
IEEE
14 years 3 months ago
Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
Animashree Anandkumar, Meng Wang, Lang Tong, Anant...
ICCV
2003
IEEE
14 years 10 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
MICCAI
2006
Springer
14 years 9 months ago
Towards Optimization of Probe Placement for Radio-Frequency Ablation
We present a model for the optimal placement of mono- and bipolar probes in radio-frequency (RF) ablation. The model is based on a numerical computation of the probe's electri...
Inga Altrogge, Tim Kröger, Tobias Preusser, C...
DEXAW
2008
IEEE
204views Database» more  DEXAW 2008»
14 years 3 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...
Millie Pant, Radha Thangaraj, Ajith Abraham
EOR
2008
200views more  EOR 2008»
13 years 8 months ago
General variable neighborhood search for the continuous optimization
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...