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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 7 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 4 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
89
Voted
SIGMETRICS
2002
ACM
107views Hardware» more  SIGMETRICS 2002»
15 years 13 days 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 2 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
98
Voted
ICIP
2000
IEEE
16 years 2 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