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WSC
1997
14 years 10 months ago
A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains
We propose a new estimator for some performance measures obtained from a regenerative simulation of a discrete-time Markov chain. Our new estimator is based on the idea of generat...
James M. Calvin, Marvin K. Nakayama
IVC
2008
141views more  IVC 2008»
14 years 9 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
ICPR
2010
IEEE
14 years 12 months ago
A Compound MRF Texture Model
—This paper describes a novel compound Markov random field model capable of realistic modelling of multispectral bidirectional texture function, which is currently the most adva...
Michael Haindl, Vojtech Havlicek
90
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PERCOM
2009
ACM
15 years 4 months ago
Markov Chain Existence and Hidden Markov Models in Spectrum Sensing
—The primary function of a cognitive radio is to detect idle frequencies or sub-bands, not used by the primary users (PUs), and allocate these frequencies to secondary users. The...
Chittabrata Ghosh, Carlos de M. Cordeiro, Dharma P...
WSC
2008
14 years 11 months ago
Speeding up call center simulation and optimization by Markov chain uniformization
Staffing and scheduling optimization in large multiskill call centers is time-consuming, mainly because it requires lengthy simulations to evaluate performance measures and their ...
Eric Buist, Wyean Chan, Pierre L'Ecuyer