Expectation Maximization

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    期望最大化;期望值最大化;并利用期望最大;期望值最大

数据更新时间:2026-06-25 20:14:20
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image fusion scheme based on expectation maximization

基于期望值最大算法的图像融合

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iterative restoration algorithm based on expectation maximization ( em) for hyperspectral image

基于期望值最大化的高光谱图像迭代复原算法

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the parameter estimation method of the expectation maximization ( em) algorithm-based link travel time reliability evaluation model is developed, by combining the improved random interpolation method and the em algorithm.

针对单一的移动源行程时间数据获取条件,将改进的随机插补方法与期望最大化(EM)算法相结合,建立了缺失数据条件下、基于EM算法的路段行程时间可靠性评价模型的参数估计方法。

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we resort to expectation maximization ( em) algorithm for both the estimation of model parameters and the coping with missing values.

这里,期望最大化算法既用来处理丢失值又用来估计模型参数。

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detecting& analyzing of gene chip image signal based on expectation maximization algorithm

基于EM算法的基因芯片图像信号检测与分析

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the parameters in gauss mixed distribution was estimated by expectation maximization ( em) algorithm.

并给出了利用期望-极大化算法计算混合Gauss分布参数的方法。

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a texture image segmentation algorithm based on spectral histograms and expectation maximization ( em) is recommended.

提出了一种基于谱直方图和EM的纹理图像分割算法。

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expectation maximization ( em) algorithm was used for haplotype frequencies analysis and pairwise linkage disequilibrium test.

分析位点间的连锁不平衡关系,估算它们构成的单倍型。

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The joint distribution of prior probability is estimated using the Expectation Maximization algorithm in detail. And we utilized joint distribution of Gaussian prior probability to compensate feature parameters. The parameter estimation formula of joint Gaussian Mixture Model was also derived.

在此基础上,引入倒谱的动态差分特征,采用期望最大化算法,估计先验概率的联合分布,利用联合高斯先验概率进行特征补偿,并推导了联合高斯混合模型的参数估计公式。

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em ( expectation maximization) method is applied to estimate parameters of mixture model.

针对于此,本文提出了一种基于主题和通用知识的类模型,利用期望最大化方法(EM)估计模型参数。

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in this paper, according to the characters of projection data, a scatter correction method which uses maximum likelihood expectation maximization ( mlem) algorithm based on poisson model is proposed.

我们根据投影图像的分布特征,基于泊松数据模型,利用最大似然期望值法(Maximum likelihood expectation maximization,MLEM)对正弦图进行散射校正。

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To overcome the overflow difficulty existing in HMT model, a scaling algorithm is developed to improve expectation maximization ( EM) algorithm.

为了克服HMT模型存在的计算溢出困难,采用尺度变换对EM算法进行了改进。

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the work in this part presents a semi-supervised approach based on expectation maximization to incorporate unlabeled bug reports to improve bug triage.

本工作设计了基于期望最大化的半监督分派方法,融合无标签bug报告,进而提高bug分派。

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in order to improve the accuracy of eye detection in low quality face images, an eye detection method based on gradient integral projection and expectation maximization algorithm is proposed.

为提高低质量人脸图像中人眼检测的精度,提出了一种梯度积分投影结合最大期望算法的人眼检测算法。

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it is an important issue to construct the text classification with incomplete data. an improved method that based on bernoulli mixture model and expectation maximization ( em) algorithm was introduced.

在Bernoulli混合模型和期望最大化(EM)算法的基础上给出了一种基于不完整数据的改进方法。

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therefore, an expectation maximization ( em) algorithm based on the depth-variant imaging model is proposed in this paper.

因此本文提出基于深度变化成像模型的最大期望(EM)复原算法,能够提高图像清晰度,尤其是在深度方向;

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in the paper an algorithm for maximum-likelihood image restoration based on the expectation maximization ( em) algorithm using the depth-variant imaging model in three-dimensional optical sectioning microscopy is proposed.

该文提出了一种基于EM算法的最大似然图像复原算法,此算法是基于三维显微光学切片中成像随深度变化的模型实现的。

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expectation maximization algorithm in phylogenetic tree construction

系统发育树构建中的EM算法

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we discuss how the em ( expectation maximization) algorithm can be used for parameter estimation of finite mixture distributions in unsupervised learning.

本文主要讨论在非监督学习中,用EM方法求解有限混合分布(已知类别数)未知参数的问题。

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the correct noc of different images can be obtained by minimizing the atec and the parameters in the criterion are estimated by expectation maximization algorithm and maximum pseudo-likelihood method.

当该准则达到最小时对应的类数就是图像正确分割所要求的分类数。准则中各参数由期望最大法和最大伪似然法来估计。

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to improve the accuracy of tracking the complex maneuver target in cluttered environment, a new state estimation algorithm based on the expectation maximization ( em) algorithm is presented.

为了提高在杂波环境下跟踪强机动目标的精度,提出了一种新的基于期望极大化(EM)算法的机动目标状态估计方法。

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Experimental results illustrate that the performances of the proposed system is better than the discriminant CEM ( classification expectation maximization) algorithm, particularly when there are noise data and new patterns.

实验结果表明半监督学习自适应谐振理论系统的性能优于判别式CEM算法,特别是在含有噪音和新模式数据情况下,其优势更为明显。

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one remote sensing image fusion method based on the expectation maximization ( em) algorithm and covariance intersection ( ci) approach has been proposed.

基于最大期望算法和协方差交叉原理提出了一种遥感图像融合算法。

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an annealing expectation maximization algorithm

退火期望最大化算法A-EM

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to adapt to changes in object appearance, an online expectation maximization ( em) algorithm is developed to update the gaussian parameters.

为了适应目标表面的变化,这些高斯参数在跟踪期间通过在线的EM算法自适应更新;

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maneuvering target tracking with coordinated turn motion based on expectation maximization algorithm

基于期望极大化算法的转弯机动目标跟踪

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this paper proposed a modified ordered subsets expectation maximization ( osem) reconstruction based on the direct helical half-scan data.

提出了基于直接螺旋半扫描数据的有序子集期望最大化(OSEM)迭代重建。

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