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  1. GLSICM4

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  2. 利用过绿色作为分类方法,分成两类后,应用马尔科夫随机场进行分割。-Made use of green as the classification method, after divided into two categories, the application of Markov random segmentation.
  3. 所属分类:assembly language

    • 发布日期:2017-04-14
    • 文件大小:3783
    • 提供者:祝贺
  1. HGLSA4

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  2. 基于马尔科夫随机场的过绿色模拟退火的分割方法程序,包含如何建立马尔科夫随机场。-Markov random field segmentation method for green program based on simulated annealing, including how to build the Markov random field.
  3. 所属分类:assembly language

    • 发布日期:2017-04-08
    • 文件大小:3678
    • 提供者:祝贺
  1. approach

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  2. A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding to di€ erent c
  3. 所属分类:assembly language

    • 发布日期:2017-05-02
    • 文件大小:601448
    • 提供者:杨松
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