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- hidden Markov measure field 隐马尔科夫度量场
- Based on Hidden Markov original, write the relevant code on the HMM model. 基于隐马尔科夫的原来，写了相关关于HMM模型的代码。
- A novel iterative algorithm to estimate the hidden states of wavelet coefficients of SAR images is proposed by combing the Hidden Markov Tree (HMT) and the Hidden Markov Random Field (HMRF) model. 该文将隐马尔可夫树(HMT)和隐马尔可夫随机场(HMRF)两种模型相结合,提出了一种新的估计SAR图像小波系数隐状态的迭代算法。
- This paper presents a hybrid model of Continuous Density Hidden Markov Model (CDHMM) and the Multi-Layer Perceptron (MLP). 本文提出了一种由连续隐马尔可夫模型（CDHMM）与多层感知器（MLP）构成的混合模型，并将该模型应用于语音孤立词识别。
- 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。
- An abridged algorithm of 2D hidden Markov chain model and its parameter estimation method are made. 针对现有的二维隐马氏模型算法给出了一种简化算法及参数估计方法。
- Hidden Markov Models are introduced to the area of ship-radiated noise recognition. 将隐马尔可夫模型引入到舰船噪声目标识别中。
- 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。
- In this thesis, we use both Hidden Markov Model (HMM) and Weight Array Model (WAM) to predict the splice sites. 本文基于隐Markov模型(HMM)和权重阵列模型(WAM)两种方法来预测剪接位点。
- Hidden markov random field model 隐马尔可夫模型
- It produces Mongolian translation from the single language material through use of dictionary-based model and Hidden Markov Model. 基于HMM模型的蒙古文生成方法采用词典驱动模型和HMM模型从单语料生成蒙古文译文。
- In this paper a method of continuous speech recognition based on hidden Markov models (HMM) and vector quantization (VQ) is discussed. 本文讨论基于隐马尔可夫模型(HMM)和矢量量化(VQ)的连续语音识别方法。
- Along with the development and the unceasing maturation of digital Photogrammetry technology .it's importance in measure field is also continuously strengthen. 随着数字摄影测量技术的不断成熟与发展,它在测量领域的重要性也在不断增强。
- Jeff A. Bilmes, “A Gentle Tutorial of EM Algorithm and its Application Parameter Estimation for Gaussian Mixture and Hidden Markov Models”. 郑顺德;“不特定语句中量语者辨识系统之设计研究;”国立中山大学电机工程研究所硕士论文;民国91年9月13日.
- This paper proposes a multistate document segmentation method based on wavelet transform and the hidden Markov tree (HMT) model. 该文基于小波域多状态隐马尔科夫树(HMT)模型,引入一种新的文本分割方法。
- The use of hidden Markov models(HMM) for faces is motivated by their partial invariance to variations in scaling and by the structure of faces. 隐马尔可夫模型(HMM)在人脸识别中的运用是由HMM在图像定标变化过程中的局部恒定性和人脸的结构所决定的。
- We also discuss some fundamental properties of the measurable field. 给出不定度规空间场是谐调可测场的充要条件以及谐调可测场的若干性质。
- Second, we discuss the three base question of Hidden Markov Model, induce two new algorithms, named mend Baum-Welch and mend Viterbi. 其次，本文在研究了隐马尔可夫模型的基础上，对其三个基本问题进行了比较细致的论证，并引入改进Viterbi算法。
- The continuous density hidden Markov model(CDHMM) is adopted, Viterbi and Baum-Welch reestimation algorithms is utilized to train and recognize the speech signals. 采用连续HMM模型，利用Baum-Welth重估、Viterbi算法进行训练和识别，实现系统软件设计。
- This paper presents a Chinese named entity recognition system that integrates the Hidden Markov Model (HMM) and rules which are automatic extracted from the training corpus. 本文实现的中文命名实体识别系统采用了隐马尔可夫模型(Hidden Markov Model,HMM)与自动规则提取相结合的方法。
