bayes factor is the major tool for model selection in bayesian statistics.

1、

in the paper, moving object segmentation algorithm based on mean field theory ( mft) using maximum a posteriori estimation of markov random field ( mrf-map) is proposed.

研究了基于均值场理论和马尔可夫场的运动目标分割方法。

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2、

the application of a gaussian markov random fields ( gmrf) based maximum a posteriori probability ( map) estimation for image gaussian noise filter was presented.

提出了基于高斯马尔可夫随机场（GMRF）的最大后验概率（MAP）估计在图像高斯噪声滤波中的应用方法。

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3、

according to this approach, a statistically based cost function through which phase unwrapping is treated as a maximum a posteriori probability ( map) estimation problem is defined.

从这一思路出发，一方面本文引入了基于极大验后估计（MAP）的统计费用优化指标函数，并给出了特定的应用模型；

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4、

under such prior distribution, maximum a posteriori ( map) estimator is used to restore the wavelet coefficients from the noisy observations.

在此先验分布的基础上，通过运用最大后验概率估计方法从含噪系数中恢复原始系数，来达到滤出噪声的目的。

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5、

the modified sliding-window maximum a posteriori

改进的滑动窗最大后验译码

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6、

in this paper, we proposed an emm ( error minimum and maximum a posteriori estimation) method to restore the blurred image.

在本论文中，提出一种EMM（最小恢复残差和最大后验概率）方法进行模糊图像的盲恢复。

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7、

to solve the effect of channel changes on the performance of speaker identification system, apply the method of maximum a posteriori to specific channel compensation.

为了解决通道变化对说话人识别系统性能的影响，将最大后验概率方法应用到具体的通道补偿中。

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8、

on the other hand, a simplified log maximum a posteriori ( log-map) algorithm is presented based on approximation theory.

另一方面，提出了一种简化的对数最大后验概率译码算法。

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9、

firstly, based on maximum a posteriori criterion, partially coherent multi user weight/ phase estimator is given via theoretical analysis.

本文首先基于最大后验概率准则从理论上推导出了部分相干多用户信码/相位联合估计子的表达式；

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10、

model parameters for the learning algorithm, we give two different bayesian estimation strategies: maximum a posteriori estimation and conditional expectation estimation.

对于算法中模型参数的学习，给出了两种不同的贝叶斯估计策略：最大后验估计和条件期望估计。

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11、

resolution restoration algorithm based on maximum a posteriori from poisson-markov distribution and blind multichannel deconvolution

基于Poisson-Markov分布最大后验概率的多通道超分辨率盲复原算法

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12、

pseudo-optical flow estimation for medical image sequences based on maximum a posteriori probability and gibbs random field

基于吉伯斯随机场和最大后验概率的医学序列图像伪光流估计

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13、

finally, we can get the restored image after several iterations by using the maximum a posteriori criterion.

最后，采用最大后验概率估计的方法经过多次迭代得到恢复后的图像。

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14、

separating the sources by maximum a posteriori estimation.

用最大后验概率的估计方法分离源语音信号。

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15、

maximum a posteriori reconstruction algorithms in emission ct

最大后验概率重建算法在发射CT中的应用

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16、

kalman filtering deconvolution based on maximum a posteriori estimation

基于极大后验估计的卡尔曼滤波反褶积

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17、

a study on the chinese continuous speech recognition unsupervised speaker adaptation based on maximum a posteriori algorithm

基于MAP算法的无教师讲者自适应的研究

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18、

maximum a posteriori probability detection for free-space optical communication

自由空间光通信的最大后验概率检测

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19、

hidden markov model adaptation algorithm using maximum a posteriori nonlinear transformation in noisy environments

噪声环境下基于最大后验非线性变换的隐马尔可夫模型自适应算法

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20、

the application of maximum a posteriori in image blind deconvolution

最大后验方法在图像复原中的应用

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