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» Solving Hierarchical Optimization Problems Using MOEAs
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102
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HEURISTICS
2008
92views more  HEURISTICS 2008»
15 years 18 days ago
Learning heuristics for basic block instruction scheduling
Instruction scheduling is an important step for improving the performance of object code produced by a compiler. A fundamental problem that arises in instruction scheduling is to ...
Abid M. Malik, Tyrel Russell, Michael Chase, Peter...
91
Voted
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
105
Voted
IVA
2010
Springer
14 years 11 months ago
Interactive Motion Modeling and Parameterization by Direct Demonstration
Abstract. While interactive virtual humans are becoming widely used in education, training and therapeutic applications, building animations which are both realistic and parameteri...
Carlo Camporesi, Yazhou Huang, Marcelo Kallmann
97
Voted
ECCV
1998
Springer
16 years 2 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
121
Voted
AIPS
2009
15 years 1 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden