1) PL-EM algorithm
PL-EM算法
1.
Because the EM algorithm requires significant computational resources for Bayesian Networks parameter learning under large databases,the PL-EM algorithm is proposed to improve the learning speed.
PL-EM算法在E步并行计算隐变量的后验概率和期望充分统计因子;在M步,利用贝叶斯网络的条件独立性和完整数据集下的似然函数可分解性,并行计算各个局部似然函数。
2) EM-like algorithm
类EM算法
1.
We derived the EM-like algorithm to estimate the model parameters through optimizing the system cost function.
通过优化系统的代价函数 ,导出了类EM算法去估计混合模型的参数 ,从而构建对光谱特征识别的识别器。
3) EM
EM算法
1.
In the paper, Gaussian mixture model is used to describe the residuals of matches in the new robust algorithm for fundamental matrix estimation, and an improved split-merge EM (SMEM) algorithm is used to classify the matches, so that the false matches can be detected and rejected by the least mean absolute residual criteria.
该算法用高斯混合模型描述匹配点估计余差,采用改进的分裂合并EM算法对匹配点估计余差进行聚类分析,根据分类结果及平均余差最小规则筛选出正确匹配点类别,抛弃错误匹配点;最后,用M估计算法对筛选出的正确匹配点进行迭代求精。
2.
An EM algorithm is derived to compute maximum likelihood estimate.
分类器的学习采用半监督贝叶斯方法,使用EM算法求解最大似然估计,实验结果表明能够获得较好的结果。
4) Expectation maximization algorithm
EM算法
1.
The three-dimensional reconstruction algorithm based on Susan operator and optical flow method and expectation maximization algorithm was introduced to slove the problem about the low degree of automation and inefficient in process of selecting feature points in target object in three-dimensional retrieval based three-dimensional reconstruction.
针对目前在基于三维建模的三维模型检索技术中存在的对目标物体特征点的选取自动化程度不高的问题,提出了基于Susan算子和光流法配合EM算法的三维重建算法,实验证明该算法有效。
5) EM algorithm
EM算法
1.
Study of an adaptive technology for estimating the parameters of single ion channel signal based on EM algorithm;
基于EM算法的自适应离子单通道信号参数估计技术研究
2.
A multipath time delay estimation algorithm based on EM algorithm under α-stable distribution impulse noise environment;
α稳定分布噪声下基于EM算法的多径时延估计算法
3.
Parameter estimation of incomplete data using α-EM algorithm;
不完全数据参数估计的α-EM算法
补充资料：EM208型矿物微束分析透射电镜
EM208型矿物微束分析透射电镜
呱EM208·····…… ..鞘麟翼:
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条