Uncertainty in Artificial Intelligence
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Efficient Parallel Estimation for Markov Random Fields
Michael Swain, Lambert Wixson, Paul Chou
Abstract:
We present a new, deterministic, distributed MAP estimation algorithm for Markov Random Fields called Local Highest Confidence First (Local HCF). The algorithm has been applied to segmentation problems in computer vision and its performance compared with stochastic algorithms. The experiments show that Local HCF finds better estimates than stochastic algorithms with much less computation.
Keywords:
Pages: 361-368
PS Link:
PDF Link: /papers/89/p361-swain.pdf
BibTex:
@INPROCEEDINGS{Swain89,
AUTHOR = "Michael Swain and Lambert Wixson and Paul Chou",
TITLE = "Efficient Parallel Estimation for Markov Random Fields",
BOOKTITLE = "Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1989",
PAGES = "361--368"
}


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