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EDUTAINMENT
2006
Springer
15 years 8 months ago
Energy Matting
In this paper, we formulate the image matting as one of solving energy minimization problems. Our approach has the following advantages. First, the matte estimation is modeled usin...
Yu Guan, Xiao Liang, Zi'ang Ding, Yinan Fan, Wei C...
IJCAI
1993
15 years 5 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
CCE
2010
15 years 2 months ago
A simple heuristic for reducing the number of scenarios in two-stage stochastic programming
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
Ramkumar Karuppiah, Mariano Martín, Ignacio...
WCNC
2010
IEEE
15 years 2 months ago
Robust Relay Precoder Design for MIMO-Relay Networks
Abstract—In this paper, we consider a robust design of MIMOrelay precoder and receive filter for the destination nodes in a non-regenerative multiple-input multiple-output (MIMO...
P. Ubaidulla, Ananthanarayanan Chockalingam
170
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ISDA
2008
IEEE
15 years 11 months ago
Cultural-Based Genetic Algorithm: Design and Real World Applications
Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms (GA), Simulated Annealing (SA) and Tabu Sea...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...