Expectation Maximization的例句大全

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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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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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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We perform unsupervised classification to hyperspectral image by Gaussian mixture modeling, estimate the parameters of the mixture model using the expectation maximization ( EM) algorithm in merged operations to data after PCA linear projection, and select the number of components according to the proposed criterion.

分类过程中，论文采用期望最大化（Expectation maximization）算法在合并的策略下对PCA变换后的数据求解混合模型，并应用所提出的准则进行模型选择从而确定待分类的类别数。

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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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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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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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histogram approximation based on expectation maximization algorithm and its application

基于EM的直方图逼近及其应用

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orthogonal frequency division multiplexing channel estimation method based on accelerate expectation maximization algorithm

基于期望最大化加速算法的正交频分复用信道估计

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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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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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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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expectation maximization algorithm in phylogenetic tree construction

系统发育树构建中的EM算法

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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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an annealing expectation maximization algorithm

退火期望最大化算法A-EM

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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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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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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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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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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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