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» Efficient learning algorithms for changing environments
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CEC
2005
IEEE
15 years 9 months ago
Effects of experience bias when seeding with prior results
Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
ACCV
2006
Springer
15 years 7 months ago
Motion Detection in Driving Environment Using U-V-Disparity
Abstract. Motion detection in driving environment, which aims to detect REAL moving objects from continuously changing background, is vital for Adaptive Cruise Control (ACC) applic...
Jia Wang, Zhencheng Hu, Hanqing Lu, Keiichi Uchimu...
ICVGIP
2008
15 years 5 months ago
Visibility Cuts: A System for Rendering Dynamic Virtual Environments
In recent years, the subject of occlusion culling of large 3D environments has received substantial contribution. However the major amount of research into the area has focussed o...
Soumyajit Deb, Ankit Gupta
SKG
2005
IEEE
15 years 9 months ago
A Heuristic Algorithm for Task Scheduling Based on Mean Load
Efficient task scheduling is critical to achieving high performance on grid computing environment. A heuristic task scheduling algorithm satisfied resources load balancing on grid ...
Lina Ni, Jinquan Zhang, ChunGang Yan, Changjun Jia...
JCST
2010
155views more  JCST 2010»
14 years 11 months ago
Efficient Location Updates for Continuous Queries over Moving Objects
Abstract The significant overhead related to frequent location updates from moving objects often results in poor performance. As most of the location updates do not affect the quer...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku