Sciweavers

565 search results - page 7 / 113
» A Guided Monte Carlo Approach to Optimization Problems
Sort
View
TCOM
2010
138views more  TCOM 2010»
13 years 5 months ago
Approaching MIMO capacity using bitwise Markov Chain Monte Carlo detection
—This paper examines near capacity performance of Markov Chain Monte Carlo (MCMC) detectors for multipleinput and multiple-output (MIMO) channels. The proposed MCMC detector (Log...
Rong-Rong Chen, Ronghui Peng, Alexei Ashikhmin, Be...
NAA
2000
Springer
104views Mathematics» more  NAA 2000»
13 years 11 months ago
A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems
In this work a grid free Monte Carlo algorithm for solving elliptic boundary value problems is investigated. The proposed Monte Carlo approach leads to a random process called a ba...
Todor V. Gurov, Paula A. Whitlock, Ivan Dimov
ICPR
2010
IEEE
14 years 2 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
WSC
2004
13 years 8 months ago
A Unified Approach for Finite-Dimensional, Rare-Event Monte Carlo Simulation
We consider the problem of estimating the small probability that a function of a finite number of random variables exceeds a large threshold. Each input random variable may be lig...
Zhi Huang, Perwez Shahabuddin
NLP
2000
13 years 11 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman