As a statistics model, Hidden Markov Model ( HMM) have been widely used in pattern recognition and stochastic signal processing.

A new synthetic aperture radar ( SAR) image filter method is proposed based on hidden Markov model ( HMM).

在小波域隐Markov模型（HMM）的基础上提出一种新的合成孔径雷达（SAR）图像的滤波方法。

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The hidden Markov model ( HMM) technique is used to identify feature sequences resulting from range profile sequences.

然后用隐Markov模型来描述、识别基于一维像的特征序列。

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A new method based on Gabor wavelets transform and hidden Markov model ( HMM) for face recognition is proposed.

探讨了利用Gabor小波和隐马尔可夫模型（HMM）进行人脸识别的方法。

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Compared to other speech synthesis methods, based on Hidden Markov Model ( HMM) speech synthesis methods is more convenient.

基于隐马尔科夫模型（HMM）合成法与其他语音合成方法相比具有很多便捷之处。

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This paper proposes a novel contour tracking algorithm based on Hidden Markov Model ( HMM) and optic flow.

提出了一个新颖的基于隐马尔科夫模型与光流的轮廓线跟踪算法。

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Drill Wear Monitoring by Using Hidden Markov Model ( HMM) Based on Wavelet Packets Energy Spectrum

基于小波包能量谱的HMM钻头磨损监测

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The hidden Markov model ( HMM) is a sort of statistical signal model.

隐马氏模型（the Hidden Markov Model，HMM）是一种统计信号模型。

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Application of Hidden Markov Model ( HMM) in Sleep Staging

隐马尔可夫模型在睡眠分期中的应用

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Hidden Markov model ( HMM) is an important statistical method.

隐马尔可夫模型是一种十分重要的统计学方法。

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This article will evaluate collocation extraction problem is transformed into a sequence labeled problem, constructing the word itself, part of speech, dependence relationship, word location and other characteristics, based on conditional random field model extract comment text opinion target and emotional word with relationships.

本文将评价搭配抽取问题转化为序列标注问题，构建词本身、词性、依存关系、词位置等特征，基于条件随机场的模型抽取评论文本中评价对象和评价词的搭配关系。

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Besides, after adding the high order term to the conditional random field, better object boundaries are acquired and the segmentation results are basically identical to the objects' semantics.

在马尔科夫随机场中，加入了高阶项之后，能够较好地保持对象间的边缘，获得了较好的语义分割效果。

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The two acoustic models are based on the improved Gaussian Mixture Model ( GMM) and Conditional Random Field Model ( CRFM) respectively.

第二章介绍了两种不同的声学模型：基于改进的高斯混合模型和条件随机场模型。

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So Conditional Random Field ( CRF) is introduced to build POS tagging model in this paper, in order to overcome above problems.

论文引入条件随机域建立词性标注模型，易于融合新的特征，并能解决标注偏置的问题。

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Firstly, a maximum a posteriori framework is created according to conditional random field model and Markov random field model.

针对旅游领域，提出了一种基于层叠条件随机场模型的旅游领域命名实体识别方法。

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Second, this thesis identifies the English entity names with Conditional Random Field approach integrating many features.

然后本文使用了条件随机域模型结合多种特征的方法对英文命名实体识别进行了实验。

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There are two procedures of the conditional random field: the training procedure and the inference procedure.

条件随机场包括两个过程：训练过程和标记过程。

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Finally, hierarchical conditional random field is used to obtain the final segmentation result.

在此基础上，通过设计特征函数，构造分层随机场模型对特征函数进行约束求解，获得最终的分割结果。

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Prosodic Structure Prediction Based on Conditional Random Field Model

条件随机场模型在韵律结构预测中的应用

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A Text Extraction Method for Image with Complex Background Based on Conditional Random Field

一种基于条件随机场的复杂背景图像文本抽取方法

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Product attribute extraction is a very valuable task for sentiment analysis. In order to improve the precision of product attributes extraction, we apply Conditional Random Field ( CRF) model and Maximum Entropy ( ME) model with the combination of several important linguistic features.

产品属性抽取是一个很有价值的研究任务，为了提高评论语料中产品属性抽取的准确率，本文采用条件随机场模型和最大熵模型在产品属性抽取任务中进行比较分析。

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