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ICPADS
2006
IEEE
15 years 6 months ago
Acceleration of Maximum Likelihood Estimation for Tomosynthesis Mammography
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 1 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
113
Voted
MOBIHOC
2009
ACM
16 years 1 months ago
Efficient resource management in OFDMA Femto cells
Femto cells are a cost-effective means of providing ubiquitous connectivity in future broadband wireless networks. While their primary purpose has been to improve coverage in curr...
Karthikeyan Sundaresan, Sampath Rangarajan
102
Voted
EWSN
2007
Springer
16 years 7 days ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
84
Voted
SAGT
2009
Springer
136views Game Theory» more  SAGT 2009»
15 years 7 months ago
Doing Good with Spam Is Hard
We study economic means to improve network performance in the well-known game theoretic traffic model due to Wardrop. We introduce two sorts of spam flow - auxiliary and adversari...
Martin Hoefer, Lars Olbrich, Alexander Skopalik