bayesian probability framework
基本解释
- [计算机科学技术]贝叶斯概率框架
英汉例句
- Each probability items in the Bayesian framework have the specific meanings.
该框架下每个概率项都有其具体的含义。 - For a foggy input image, there is a clear image correspondingly. The Bayesian framework is established using the maximum probability of the corresponding clear image appearing for a given foggy image.
对于输入的一幅有雾图像，会存在一幅清新图像与之相对应，我们就是要求清新图像在有雾图像已知情况下出现的概率最大，为此利用图像的统计模型建立了贝叶斯框架。
双语例句
专业释义
- 贝叶斯概率框架
Bayesian probability framework is a theory to transfer a priori probability to posterior probability. This thesis provides a formal Bayesian framework for image classification problems, which maps the low-level image features to the intrinsic high-level semantics.
贝叶斯概率框架是一种将先验概率转化为后验概率的理论框架,通过形式化的图像分类概率框架可以将低级图像特征映射到已有的高层语义。