Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/iccv/KateZB95
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1995
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Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.
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image classification; Markov processes; random processes; hierarchical systems; image segmentation; maximum likelihood estimation; iterative methods; remote sensing; computer vision; parallel processing; unsupervised parallel image classification; hierarchical Markovian model; Markov random fields; model parameters; segmentation problem; hidden label field parameters; observable image; iterative conditional estimation; estimation-maximization algorithm; maximum a posteriori estimate; maximum likelihood estimate; tentative labeling; Connection Machine CM200; comparative tests; noisy synthetic images; noisy real images; remote sensing
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Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model.
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