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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 4 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
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, Michael Kirley, Ra...
CVPR
2008
IEEE
14 years 5 months ago
Robust dual motion deblurring
This paper presents a robust algorithm to deblur two consecutively captured blurred photos from camera shaking. Previous dual motion deblurring algorithms succeeded in small and s...
Jia Chen, Lu Yuan, Chi-Keung Tang, Long Quan
STACS
2001
Springer
13 years 8 months ago
On the Complexity of Computing Minimum Energy Consumption Broadcast Subgraphs
We consider the problem of computing an optimal range assignment in a wireless network which allows a specified source station to perform a broadcast operation. In particular, we ...
Andrea E. F. Clementi, Pierluigi Crescenzi, Paolo ...
ICCV
2003
IEEE
14 years 5 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
NIPS
1998
13 years 5 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...