Markov Random Field 马可夫随机场 ; 马尔可夫随机域
gaussian markov random field 高斯马尔可夫随机场
weighted Markov random field prior 加权马尔可夫先验
Multiple Markov Random Field 多马尔科夫随机场
maximum posteriori-Markov random field 最大后验概率
Tree-Structured Markov Random Field 树结构马尔可夫场
Spatial-Temporal Markov Random Field 马尔科夫随机场
markov chain field 马尔可夫链场
The results show the correctness of Gaussian stationary field-Markov field and the validity of spectral model.
模拟结果证实了高斯平稳场-马尔可夫场的正确性和谱模型的有效性。
In this dissertation, based on hidden Markov field and pairwise Markov field, we do research on triple Markov random field.
本文在隐马尔科夫场和双马尔科夫场的基础上，着重研究了三重马尔科夫随机场。
It is based on the markov random field with new features, such as clique potential, initial nodes probability density.
此应用是基于马尔可夫随机场的新特性：势团势能，初始节点的概率密度。
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