information fusion using adaptive mcmc method in integrated navigation system

next, mcmc algorithm is applied for posterior simulation, so as to achieve the distribution characteristics and parameter estimation.

接着，通过马尔科夫链蒙特卡洛算法模拟参数的后验分布，获得各参数的分布特征，从而实现模型参数估计。

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a preliminary study on electrical structure and dynamics of the ultra-high pressure metamorphic belt beneath the dabie mountains

大别山超高压变质带深部电性结构及其动力学意义初步研究

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the eclogite bearing high pressure metamorphic belt in the jiaonan uplift is the eastward extension of the dabie ultra high pressure belt.

胶南隆起含榴辉岩高压变质带为大别超高压带的东延部分。

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the mean field variational method is a basic variational approximate inference method.

均值场变分方法是图模型最基本的变分近似推理方法。

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probabilistic graphical model and variational inference is a new machine learning framework, and is a good method applied to uncertain problem or complex problem. it is applied in computer vision and natural language processing widely.

概率图模型和变分推理是一个新型的机器学习框架，是处理不确定性和复杂性问题的有力工具，被广泛应用于计算机视觉和自然语言处理等领域。

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we also provide mean field variational inference for model learning.

本文给出了平均场变分推断法进行模型学习和推断的具体方法。

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second, the gaussian exact variational inference algorithm and the gaussian mean field variational inference algorithm are designed based on the gaussian markov random field models.

在高斯马尔可夫随机场基本模型上，设计了精确变分推理算法和均值场变分推理算法。

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variational inference is an important deterministic approximate inference method, which computes the approximate expectation of random variables through variational iterations.

变分推理应用变分迭代计算出随机变量的近似期望值，是现代人工智能学科一种重要的近似概率推理方法。

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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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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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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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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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the deconvolved results with the compensated data and the original image data by expectation maximization ( em) algorithm for reducing the effect of out of focus light were compared respectively.

在此基础上给出期望最大化算法图像恢复结果，并对恢复结果做出分析。

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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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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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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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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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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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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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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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