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SIGMETRICS
2002
ACM
142views Hardware» more  SIGMETRICS 2002»
13 years 5 months ago
Exact aggregate solutions for M/G/1-type Markov processes
We introduce a new methodology for the exact analysis of M/G/1-type Markov processes. The methodology uses basic, well-known results for Markov chains by exploiting the structure ...
Alma Riska, Evgenia Smirni
CVPR
2009
IEEE
14 years 4 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
QEST
2006
IEEE
13 years 11 months ago
Exploring correctness and accuracy of solutions to matrix polynomial equations in queues
Spectral expansion and matrix analytic methods are important solution mechanisms for matrix polynomial equations. These equations are encountered in the steady-state analysis of M...
David Thornley, Harf Zatschler
ICPR
2010
IEEE
14 years 18 days 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 ...
CJ
2010
131views more  CJ 2010»
13 years 3 months ago
Turning Back Time - What Impact on Performance?
Consistent with the divide-and-conquer approach to problem solving, a recursive result is presented in the domain of stochastic modelling that derives product-form solutions for t...
Peter G. Harrison