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» Fractal Algorithm for Finding Global Optimal Solution
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125
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ICCV
2003
IEEE
16 years 4 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 8 months ago
Finding needles in haystacks is harder with neutrality
This research presents an analysis of the reported successes of the Cartesian Genetic Programming method on a simplified form of the Boolean parity problem. We show the method of...
M. Collins
120
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SWARM
2010
SPRINGER
420views Optimization» more  SWARM 2010»
15 years 1 months ago
Fireworks Algorithm for Optimization
Abstract. Inspired by observing fireworks explosion, a novel swarm intelligence algorithm, called Fireworks Algorithm (FA), is proposed for global optimization of complex function...
Ying Tan, Yuanchun Zhu
117
Voted
ICCV
2009
IEEE
16 years 7 months ago
Multimodal Partial Estimates Fusion
Fusing partial estimates is a critical and common problem in many computer vision tasks such as part-based detection and tracking. It generally becomes complicated and intractab...
Jiang Xu, Junsong Yuan, YingWu
110
Voted
ICRA
2000
IEEE
111views Robotics» more  ICRA 2000»
15 years 7 months ago
Learning Globally Consistent Maps by Relaxation
Mobile robots require the ability to build their own maps to operate in unknown environments. A fundamental problem is that odometry-based dead reckoning cannot be used to assign ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro