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» A Guided Monte Carlo Approach to Optimization Problems
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IJCAI
2007
13 years 8 months ago
MESH-Based Active Monte Carlo Recognition (MESH-AMCR)
In this paper we extend Active Monte Carlo Recognition (AMCR), a recently proposed framework for object recognition. The approach is based on the analogy between mobile robot loca...
Felix von Hundelshausen, Hans-Joachim Wünsche...
PVM
1999
Springer
13 years 11 months ago
Parallel Monte Carlo Algorithms for Sparse SLAE Using MPI
The problem of solving sparse Systems of Linear Algebraic Equations (SLAE) by parallel Monte Carlo numerical methods is considered. The almost optimal Monte Carlo algorithms are pr...
Vassil N. Alexandrov, Aneta Karaivanova
SIGSOFT
2007
ACM
14 years 8 months ago
State space exploration using feedback constraint generation and Monte-Carlo sampling
The systematic exploration of the space of all the behaviours of a software system forms the basis of numerous approaches to verification. However, existing approaches face many c...
Sriram Sankaranarayanan, Richard M. Chang, Guofei ...
ICRA
2005
IEEE
149views Robotics» more  ICRA 2005»
14 years 1 months ago
A Markov Chain Monte Carlo Approach to Closing the Loop in SLAM
— The problem of simultaneous localization and mapping has received much attention over the last years. Especially large scale environments, where the robot trajectory loops back...
Michael Kaess, Frank Dellaert
TITB
2010
151views Education» more  TITB 2010»
13 years 2 months ago
An adaptive Monte Carlo approach to phase-based multimodal image registration
In this paper, a novel multiresolution algorithm for registering multimodal images, using an adaptive Monte Carlo scheme is presented. At each iteration, random solution candidates...
Alexander Wong