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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 10 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
ECML
2006
Springer
15 years 8 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
SIGMETRICS
2002
ACM
107views Hardware» more  SIGMETRICS 2002»
15 years 4 months ago
Passage time distributions in large Markov chains
Probability distributions of response times are important in the design and analysis of transaction processing systems and computercommunication systems. We present a general tech...
Peter G. Harrison, William J. Knottenbelt
ICIP
2004
IEEE
16 years 6 months ago
Progressive polygon encoding of segmentation maps
A new method for the lossy compression of segmentation maps is presented. In the first stage of the proposed algorithm, region boundary segments are coded, providing a coarse poly...
Marc Servais, Theodore Vlachos, Thomas Davies
ICIP
2000
IEEE
16 years 6 months ago
Optimizing Block-Threshold Segmentation for MRC Compression
Compound document images contain graphic or textual content along with pictures. They are a very common form of documents, found in magazines, brochures, web-sites, etc. We focus ...
Ricardo L. de Queiroz, Zhigang Fan, Trac D. Tran