Hidden Markov Model HMM

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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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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On the basis of combining theory with practice, the speech recognition based on Hidden Markov Model ( HMM) is researched systematically in this paper.

论文在结合理论和实践的基础上，对基于隐马尔可夫模型（Hidden Markov model，HMM）的非特定人、孤立词语音识别方法进行了系统地研究，主要内容如下。

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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 a statistical model which assumes the observa-tion sequence is generated by a Markov process with hidden states.

隐马尔可夫模型（Hidden Markov model，HMM）是一种概率模型，它假定观测序列是由包含若干隐状态的马尔可夫过程产生的。

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

隐马尔科夫模型（Hidden Markov model，简记为HMM）作为一种统计模型，在模式识别与随机信号处理中有着广泛的应用。

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A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model ( HMM) and support vector machine ( SVM).

提出了一种利用隐马尔可夫模型（HMM）和支持向量机（SVM）的两级指纹分类新方法。

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This paper proposes a text information extraction model based on improved Hidden Markov Model ( HMM). It gives a new assumption of observation emission.

提出一种基于改进隐马尔可夫模型（HMM）的文本信息抽取模型。

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That is: a Hidden Markov Model ( HMM) classifier is applied for the extraction of candidate names from character sequence;

采用隐马尔可夫模型（HMM）分类器从未经切分的汉字串中候选姓名。

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Hidden Markov model ( HMM) is a statistical pattern recognition method that is extensively used in speech and gesture recognition.

隐马尔可夫模型（HMM，Hidden Markov model）是语音识别和手势识别中广泛使用的统计模式识别方法。

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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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Introduced is a new speech recognition method, which is aimed at recognizing Chinese vowels and based on a non-homogeneous hidden Markov model ( HMM).

针对特定人汉语元音的语音识别，提出一种基于非齐次隐马尔可夫模型的识别方法。

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A novel Hidden Markov Model ( HMM) structure for recognizing feature sequence, an adaptive HMM ( AHMM) structure, is presented.

提出了一种新的隐马尔可夫模型&自适应隐马尔可夫模型（AHMM）。

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The method is based on hidden Markov model ( HMM) to profile normal program behaviors using traces of system calls generated during the normal execution of processes.

该方法以程序正常执行过程中产生的系统调用序列为研究对象，建立计算机的正常程序行为模型。

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The Basis Theoretical of Hidden Markov Model ( HMM);

隐马尔可夫模型模型（HMM）基本理论；

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The hidden Markov model ( HMM) which is effective to solve sequence signals, is used as classifier to recognize human activities.

使用处理时序信号有效的隐马尔可夫模型（HMM）方法，作为分类器对人体行为进行识别。

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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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Applying dynamic time sequence modeling ability of hidden markov model ( HMM) and classifying ability of neural networks, this paper presents a hybrid speech recognition model.

利用隐马尔可夫模型（HMM）的动态时间序列建模能力及神经网络的模式分类能力，构成混合语音识别模型，同时考虑到语音信号的非平稳性，采用小波分析方法提取语音特征向量。

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A method based on Nonnegative Matrix Factorization ( NMF) and Hidden Markov Model ( HMM) is proposed in this paper for human behavior recognition.

提出了一种基于非负矩阵分解（NMF）和隐马尔可夫模型（HMM）的人体行为识别的方法。

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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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The paper introduces the algorithms of dynamic time warping ( DTW) and hidden markov model ( HMM) for isolated word speech recognition.

针对孤立词语音识别，本文研究了动态时间规整（DTW）和隐马尔科夫模型（HMM）算法。

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In the field of speech recognition, Chinese language conversion is a hot topic. Hidden Markov Model ( HMM) is a commonly used method of language conversion.

在语音识别领域，汉语语文转换是一个热点话题，隐马尔可夫模型（HMM）是语文转换中常用的方法。

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From the view of probability relevance model, it is feasible for Hidden Markov Model ( HMM) to deal with the task of AIA.

本文从概率关联模型角度，分析了隐马尔科夫模型解决自动图像标注任务的可行性。

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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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For human motion recognition problem, this paper puts research and forward the human activity recognition method based on Hidden Markov Model ( HMM).

针对运动人体行为识别的问题，研究并提出基于隐马尔科夫模型的人体行为识别方法。

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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) 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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To detect such abnormal people trajectories, namely outliers, we presents a solution based on Hidden Markov Model ( HMM).

为了检测这种异常轨迹，我们提出了一种基于隐马尔可夫模型的异常检测方案。

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A method based on the Hidden Markov Model ( HMM) is presented that uses the optical flow feature vector as the observation vector.

在序列表情图像识别方面，提出了一种基于隐马尔可夫模型的人脸表情识别方法。

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The RGAs were classified into 21 families according to their functional domain based on Hidden Markov model ( HMM).

采用隐马尔柯夫模型（HMM），将这些RGA按其功能域分成了21类。

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