Gaussian Markov random field is a multivariate Gaussian probabilistic model with Markov property.

高斯马尔可夫随机场模型是具有马尔可夫性质、符合多元高斯分布的概率模型.

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The sea floor will be treated as a two - dimensional random field described a parameterized power spectrum.

在此研究中海底将被模拟成含有四个参数之二度空间随机场.

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We build the system using the maximum entropy model and conditional random field model.

我们分别采用最大熵和条件随机场这两种基于统计的模型建立了系统.

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Firstly, a rough motion template by motion detection based on Markov random field model processing.

该算法首先利用马尔可夫随机场模型的运动检测算法,得到运动目标的初始模板.

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So the soil parameter is able to be looked as the stationary random field.

故可将士体看作齐次平稳随机场.

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Adopting random field theory, this example may take 0.5 as variance reduction coefficient.

本例采用随机场模型计算时,方差折减系数可取0.5.

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