The location disparity was estimated based on maximum a posteriori criterion.
基于极大后验概率估计准则计算了位置偏差的估值。
A maximum a posteriori estimation approach is used to evaluate the optimal values for the estimates of the parameters.
一个最大后验估计的方法来评估这些参数的估计的最优值。
Firstly, maximum a posteriori framework is created according to conditional random field model and Markov random field model.
根据条件随机场模型和马尔可夫随机场模型建立了一个最大后验概率框架。
SD as the initial model to the maximum a posteriori probability method in 150 training samples to identify the best, can reach 90.4 .
以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。
Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.
采用最大似然估计或最大后验概率准则，用估计值来取代前面等式中的真实值。
Methods: Based on Markov random fields model of noise, a iteration algorithm was presented by using maximum a posteriori (MAP) criterion.
方法：根据马尔科夫随机场图像模型，利用最大后验概率准则(MA P)，提出一种迭代松弛分割算法。
The motion vectors of the damaged image macroblocks can be recovered adaptively by Maximum A Posteriori(MAP), and the weight is selected adaptively based o.
把运动矢量场建模为高斯马尔科夫随机场，对丢失图像块的运动矢量采用最大后验概率方法恢复，其权值能够根据空间和时间信息而自适应选择。
To solve the problem of poor resolution in passive millimeter wave (PMMW) imaging, we present an improved maximum a posteriori (MAP) super-resolution algorithm.
针对无源毫米波成像中图像分辨率低的问题，提出了一种改进的最大后验(MAP)超分辨算法。
Using iterative and maximum a posteriori decoding method, the information can be obtained at the destination node by decoding the codes received in different time.
目的节点采用迭代最大后验概率译码，利用多个时刻收到的码字恢复源 节点发送信息。
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。
An algorithm of SAR image denoising in nonsubsampled contourlet transform (NSCT) domain based on maximum a posteriori (MAP) and non-local (NL) restriction is proposed.
提出一种基于最大后验和非局域约束的非下采样轮廓波变换域SAR图像去噪方法。
We use Bayesian maximum a posteriori estimation training a speaker model from background model, to solve the problem of model miss matching in speaker verification system.
采用贝叶斯最大后验概率估计的方式，从统一背景模型中生成说话人模型。
Part of the license plate recognition locator feature, matching pursuit and orthogonal matching pursuit, maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
车牌识别定位程序的部分功能，匹配追踪和正交匹配追踪，最大似然(ML)准则和最大后验概率(MAP)准则。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).
对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；
For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).
对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；
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