概率图模型为解决智能信息领域的不确定性问题提供了重要途径。
It provides an important means for resolving the uncertainty of intelligent information field.
概率图模型及其应用作为一个具有挑战性的研究领域目前已成为一个新的研究热点。
Probabilistic graphical model(PGM) and its application have become a new hot-spot as a challenging research.
另一方面，机器学习领域中概率图模型由于其灵活的建模方式和成熟的算法在很多领域取得不少成功。
On the other hand, probabilistic graphical models from the area of machine learning make several successes in various fields.
为解决复杂场景下的全景图生成问题，应用了基于概率图模型的图像匹配技术，提出了一套完整的柱面全景图生成算法。
A graphic matching technique based on probabilistic graphical models was used to form a set of algorithms to generate cylindrical panorama of complex scenes.
然后通过全年温度概率图和度时数计算验证三波模型的较高精度。
Then, the higher degree of accuracy of three-wave model is verified by annual temperature probability distribution map and the calculation of degree-hour.
最后使用最大熵马尔可夫模型对各个人的步态进行建模，完成了基于概率图的识别。
At last, maximum entropy markov model is used to model the gait sequences of each people and implements recognition based on probability graph.
针对ESD模型规模控制方面的局限，提出了基于ESD的模块化原理，研究了ESD与概率影响图的转化方法；
To overcome the limitation of ESD on model scale control, this thesis proposes a ESD-based modular theory and studies the method of transformation between ESD and probability influence diagram.
将概率分配模型与目前用于新的中国地震区划图编制工作中的地震平均年发生率分配方法进行了比较，结果表明，二者对华北地区的应用结果相差不大。
The comparison between the model and the methed used in compiling the New Seismic Zoning Map in China shows that the results obtained by the two methed are almost the same.
首先简单介绍了颜色模型、颜色直方图和颜色概率分布图，并给出实验结果。
First, take a brief introduction of the color model, color histogram and color probability distribution, and gives experimental results.
给出了模糊概率故障图模型的对象类定义、层次分解方法及模型特性。
The definition of object classes, layer decomposition method and characteristics of the model were depicted.
给出了模糊概率故障图模型的对象类定义、层次分解方法及模型特性。
The definition of object classes, layer decomposition method and characteristics of the model were depicted.
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