Algorithm of image segmentation based on wavelet transform and bayesian theory 基于小波变换和贝叶斯理论的图像分割算法
Bayesian theory and bayesian models are system introduced in the thesis 本文对贝叶斯理论和贝叶斯模型进行介绍和讨论。
Objective to study the methods of estimation of prior parameter and compare their application condition in the absence of the gold standard based on the bayesian theory 摘要目的探讨无金标准诊断实验条件下,贝叶斯先验参数的确定方法,并比较不同方法的应用条件。
Readers learn how to use the renowned bayesian theory of probability and other guideposts from outside the world of finance to adjust their strategies and react to new information 读者学习如何使用知名贝叶斯概率论和其他重要思想,从外部世界的财务调整自己的战略和反应,以新的信息。
This technique is build on bayesian theory . combining probability statistical learning and scene estimating , it can generate a complexing edge detection pattern . we call this technique edbml 该技术以贝叶斯理论为基础,应用概率统计学习与景物估计相结合的方式为原模糊图像生成了一个合成的边缘标记结果图,把这个技术称作edbml 。