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» Randomization for Multi-agent Constraint Optimization
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15 years 6 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
ICRA
2002
IEEE
92views Robotics» more  ICRA 2002»
14 years 20 days ago
Resolution Complete Rapidly-Exploring Random Trees
Trajectory design for high-dimensional systems with nonconvex constraints is a challenging problem considered in this paper. Classical dynamic programming is often employed, but c...
Peng Cheng, Steven M. LaValle
ECCC
2000
140views more  ECCC 2000»
13 years 7 months ago
Randomized Approximation Schemes for Scheduling Unrelated Parallel Machines
We consider the problem of Scheduling n Independent Jobs on m Unrelated Parallel Machines, when the number of machines m is xed. We address the standard problem of minimizing the ...
Pavlos Efraimidis, Paul G. Spirakis
IPSN
2005
Springer
14 years 1 months ago
QoM and lifetime-constrained random deployment of sensor networks for minimum energy consumption
— We consider the problem of energy efficient random deployment of sensor network. Our goal is to find the sensor node density, or alternatively, the energy resource density at e...
Morteza Maleki, Massoud Pedram
FLAIRS
2008
13 years 10 months ago
Conditional and Composite Constraints with Preferences
Preferences in constraint problems are common but significant in many real world applications. In this paper, we extend our conditional and composite CSP (CCCSP) framework, managi...
Malek Mouhoub, Amrudee Sukpan