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@INPROCEEDINGS{8258318, 
author={C. Heinemann and T. Perciano and D. Ushizima and E. W. Bethel}, 
booktitle={2017 IEEE International Conference on Big Data (Big Data)}, 
title={Distributed memory parallel Markov random fields using graph partitioning}, 
year={2017}, 
volume={}, 
number={}, 
pages={3332-3341}, 
keywords={data analysis;graph theory;image segmentation;Markov processes;synthetic datasets;experimental datasets;MPI-PMRF framework;real-world datasets;graph partitioning;Markov random fields based algorithms;contextual information;image data;experimental facilities;image processing algorithms;general purpose distributed memory parallel MRF;image analysis framework;segmentation accuracy;Image segmentation;Parameter estimation;Optimization;Three-dimensional displays;Markov processes;Labeling;Markov Random Fields;image segmentation;parallel parameter estimation/optimization;distributed memory;material science}, 
doi={10.1109/BigData.2017.8258318}, 
ISSN={}, 
month={Dec},}

Lawrence Berkeley National Laboratory

Computational Research Division

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© 2016 by Talita Perciano

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