We construct cost function which combines the likelihood function and boundary constraint function.
它利用似然函数和边界约束方程构造代价函数,来描述区域特征。
参考来源 - SAR图像特征提取与目标识别方法研究In this algorithm, the likelihood function of particle filter in clutter is derived.
在该算法中,首先推导了杂波环境下粒子滤波的似然函数表达式。
参考来源 - 杂波环境下被动多传感器机动目标跟踪新算法·2,447,543篇论文数据,部分数据来源于NoteExpress
The posterior probability is computed from the prior and the likelihood function via Bayes' theorem.
先验概率与后验概率有不可分割的联系,后验概率的计算要以先验概率为基础。
But it was difficult to calculate, because censored data in the form of samples of the likelihood function is very complex.
但计算很是困难,原因就是删失数据后样本的似然函数的形式很复杂。
With maximizing the marginal likelihood function of hyper-parameters, the optimal weights are acquired, i. e. the reconstructed image.
最大化超参数的边缘对数似然函数求得权值参数的最优估计即待重建图像。
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