On the other hand, probabilistic graphical models from the area of machine learning make several successes in various fields.
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。
A graphic matching technique based on probabilistic graphical models was used to form a set of algorithms to generate cylindrical panorama of complex scenes.
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.
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。
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