Enumerative Bayesian algorithm of stochastic grammar 随机文法的穷举贝叶斯算法
The And-Or graph stochastic grammar is used for the understanding, decomposing, learning and sampling on shape object. 其中采用了基于与或图的随机图像语法模型,以此指导对形状物体的理解、分解、学习、采样。
The core of the visual knowledge base is an And-Or graph representation. It entails vocabularies of visual elements including pixels, primitives, parts, objects and scenes and a stochastic image grammar specifying compositional, spatial, temporal and functional relations between visual elements. 视觉知识库的核心是与或图表达,视觉元素字典包括像素、边、拐角、部分、物体、场景以及定义这些视觉元素间的组合、空间、时间、功能等的关系。