文件图像分割的应用表明，隐马尔可夫算法优于CART算法。
Application of the HMM algorithm to document image shows that the algorithm performs better than CART.
在许多采用马尔可夫随机场模型的基于样图的纹理合成算法中，邻域的大小决定着这些合成算法的纹理合成质量和合成速度。
For many sample-based texture synthesis algorithms using markov random field model, the size of neighborhood determines the quality and speed of texture synthesis.
这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。
This is a writer writing improvement of the people's hidden Markov model algorithm procedures.
针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。
This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.
通过马尔可夫分析，构造了求解系统处于平稳状态概率的迭代算法，提出了计算订单的平均缺货水平的近似表达式。
Based on Markov analysis, this paper presents a recursive algorithm to compute probabilities under stable states and derives the approximate expression for order-based backorders.
在一种新的准则概率阈值准则下讨论马尔可夫决策的最优解的算法问题。
The arithmetic problem of Markov optimum solution under a new principle named probability threshold value principle is discussed.
该算法采用后验信息修正模型的噪声方差和马尔可夫转移矩阵，使IMM具有自适应能力。
The algorithm USES posterior information to modify model's noise variance and markov transition matrix, so as to make IMM have adaptive ability.
提出了一种基于隐马尔可夫模型的文本信息抽取算法。
A new algorithm based on hidden Markov Model is proposed for text information extraction.
该算法利用文本排版格式、分隔符等信息，对文本进行分块，在分块的基础上结合隐马尔可夫模型进行文本信息抽取。
The algorithm makes use of the information of format and list separators to segment text, and then combines hidden Markov model for text information extraction.
该文提出了基于隐马尔可夫模型局部最优状态路径的数据重建(LOPDI)算法。
This paper presents a HMM Local Optimal state Path-based Data Imputation (LOPDI) algorithm.
基于熵率上下界收敛性，该文提出了一个算法以计算二态隐马尔可夫过程的熵率。
Based on the convergence of bounds for the entropy rate of binary hidden Markov processes, a numerical approach is advanced.
本研究提出了一种新的基于先验知识的弹性配准算法，首次把马尔可夫模型应用于图像的弹性配准方面。
The algorithm was constructed by integrating the elastic registration algorithm based on B-spline and the apriori knowledge of the deformation field into a MRF model.
针对马尔可夫随机场在红外图像分割方面存在的问题，给出了一种基于混合高斯模型的三马尔可夫场红外图像分割算法。
Due to the problems to infrared image segmentation using Markov random fields, a method for infrared image segmentation based on triplet Markov fields using mixture gauss model was proposed.
本文建立模糊马尔可夫场模型，并提出基于模糊马尔可夫场的图像分割新算法。
A fuzzy Markov random field (FMRF) model is established and a new algorithm based on FMRF for image segmentation proposed in this paper.
基于软件UML顺序图，提出将异构软件结构转换为马尔可夫链的算法。
An algorithm generating Markov chain from heterogeneous software architecture modeled in UML sequence diagram is proposed.
基于结构化p 2p路由系统的马尔可夫链模型，以平均路径长度为指标，提出了结构化P 2 P网络路由算法在网络层面的性能量化评估方法。
Based on structured P2P routing system model and Markov-chain model, this paper presents a quantitative evaluation on routing performance on the network-level of structured P2P network.
基于隐马尔可夫模型的多频率线跟踪算法，能在很低的SNR环境下工作，但量化误差较大，和计算量大。
The HMM based multiple frequency line tracking algorithms of work well under very low SNR, except for a high complexity of computation and for generally unnegligible quantization error.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
针对遥感图像分布的不均匀特性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。
As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model's parameters during the classification procedure.
隐马尔可夫模型参数通过期望最大化算法(EM)来估计。
最后在实验部分对改进的平滑算法以及改进的隐马尔可夫模型做了相对原算法的对比实验。
At last the experiment of the improved smoothing algorithm and improved HMM between traditional algorithms shows the amelioration of new system.
针对遥感图像分布的不均匀性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。
As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model "s parameters during the classification procedure."
针对遥感图像分布的不均匀性，该文提出的算法没有采用固定的马尔可夫随机场模型参数，而是在递归分类算法中分级地调整模型参数以适应区域的变化。
As the MRF model with fixed parameters does not fit the real remotely sensed image very well, this paper adjusts the MRF model "s parameters during the classification procedure."
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