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- MAP (Maximum a posteriori) was proposed and realized for CHMM's training. 采用耦合隐马尔可夫模型来识别双手动态手势，提出并实现了最大后验概率的训练。
- Particle filter tracking algorithm based on maximum a posteriori[J]. 引用该论文 刘天键;朱善安.
- 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。
- Different algorithms such as Maximum A Posteriori (MAP), Log-MAP and Max-Log-MAP are introduced in this thesis. 文中介绍了MAP算法、Log-MAP算法、Max-Log-MAP算法等译码算法。
- In the second step, the prior is integrated into Bayesian maximum a posteriori (MAP) framework. 然后将先验模型结合到贝叶斯最大后验概率框架中；
- Firstly,a maximum a posteriori framework is created according to conditional random field model and Markov random field model. 首先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。
- Secondly,Maximum A Posteriori(MAP)estimator based on intrascale statistical model is used to restore the noisy wavelet image coefficients. 然后在小波域同层模型中运用最大后验概率估计方法,从有意义系数中恢复出原始系数。
- Therefore, maximum a posteriori estimates can be regarded as regularization (regularization) of the maximum likelihood estimate. 所以最大后验估计可以看作是规则化（regularization）的最大似然估计。
- 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；
- It also applies Maximum A Posteriori (MAP) estimation techniques to remove Gaussian noise without damaging edges or details of the image. 此外，它还利用了最大后验概率(MAP)估计以及相应优化算法的特点，在去除高斯噪声的同时，保护边缘和细节信息。
- This paper proposes the optimum detection algorithm for a multiple antenna system based on the Maximum A Posteriori (MAP) criterion. 该文基于最大后验概率准则，给出了垂直分层空时码的最佳检测箅法。
- The application of a Gaussian Markov Random Fields (GMRF) based Maximum A Posteriori Probability (MAP) estimation for image Gaussian noise filter was presented. 摘要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。
- Among all the methods,bayesian reconstruction,or maximum a posteriori(MAP) method,has proved its superiority over others in the regard of quality of reconstructed image. 在所有方法中,贝叶斯重建或者最大化后验估计的方法被证明具有在重建图像质量方面相对于其他方法的优越性。
- The connection between a class of variational functional models and Bayesian method for image restoration is established from the viewpoint of maximum a posteriori(MAP) estimation. 从最大后验概率估计出发,分析了一类图像恢复变分模型与贝叶斯方法的统一性。
- Jean-Luc Gauvain, Chin-Hui Lee, “Maximum a Posteriori Estimation for Multivariate Gaussian Mixture Observations of Marko Chains”, IEEE Transactions on Speech and Audio Processing, 1994. 詹丰懋，”利用国语411音间之混淆量测之关键词辨认方法”，国立交通大学硕士论文，1999
- Jean-Luc Gauvain, Chin-Hui Lee, “Maximum a Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains”, IEEE Transactions on Speech and Audio Processing, 1994. 曾国裕;“国语语音辨认之快速与者调适技术之研究”;国立台湾大学电机工程研究所硕士论文;中华民国八十七年六月.
- Methods The medical image sequences were assumed to be in motion, and the pseudo-optical flow field was estimated by using iterative condition mode based on maximum a posteriori probability. 方法把医学序列图像假想为运动序列，然后根据最大后验规则，利用迭代条件模型来求解这个伪运动序列的伪光流场，达到消除帧间相关的目的。
- The soft-i n/soft-output Maximum a posteriori probability (MAP) algorithm is derived for the MDD.The iteration between the demodulation and the subsequent convolutional decoder is then developed. 导出了MDD下GMSK信号的软输入/软输出最大后验概率（MAP）算法，然后实现了解调器与其后的卷积码译码器之间的迭代译码。
- Considering seeking for the following sequence of maximal transition probability corresponding to previous sequence, a maximum a posteriori (MAP) multiuser detector had been constructed. 考虑到由于发射序列状态之间可能存在时序非继承性，而搜索与前向序列对应的具有最大转移概率的后续序列，给出了最大后验(MAP)多用户检测方法。
- MAP (maximum a posteriori probability) MAP（最大后验概率）
