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HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.
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基于隐马尔可夫模型的音频自动分类-based on Hidden Markov Models audio automatic classification
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基于统计的分词，采用隐马尔可夫模型，并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report
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EM算法（英文）A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture and
Hidden Markov Models-A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture a
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# Hidden Markov Tree Model of Contourlet Transform: MATLAB source code that implements hidden Markov tree models for wavelet and contourlet transforms. See paper Directional multiscale modeling of images using the contourlet transform.-#
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The book: Hidden Markov Models (Theory & Methods) Markov Chains Particle Filter Monte Carlo
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The book: Hidden Markov Models - Estimation and Control.
Applications and interest in Hidden Markov Models continues to grow. The authors have been pleased with the reception of the first edition of this book. Following comments and feedback from f
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The book: Inference in Hidden Markov Models. This is the basic book about HMM. The book starts with an introductory chapter which explains, in simple terms, what an HMM is, and it contains many examples of the use of HMMs
in fields ranging from bio
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Hidden SemiMarkov models 主要是改进HMM存在状态保持时间的局限性，引入了持续时间的函数显式表达-Hidden SemiMarkov models was mainly to improve HMM state of existence to maintain the limitations of time, the introduction of an explicit function of the duration of expression of
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The new speech recognition algoritm using the theory of Hidden Markov Models and wavelet transform is offered.
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基于改进小波域隐马尔可夫模型的遥感图像分割，应用于卫星图像处理-Based on Improved Wavelet-Domain Hidden Markov models for remote sensing image segmentation
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针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
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Although initially introduced and studied in the late 1960s and early 1970s, statistical methods of Markov source or hidden Markov modeling have become increasingly popular in the last several years. There are two strong reasons why this has occurred
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用小波域隐马尔科夫树模型进行图像降噪的matlab软件，rice大学编制,Software For Image Denoising Using Wavelet-Domain Hidden Markov Tree Models
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隐马尔科夫过程预测编码，对于使用或研究隐马尔科夫模型的人会有帮助。-Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.
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hidden markov models for face recegnisation
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Hidden Markov modelling of contourlet transforms for art authentication
Bayesian robust hidden Markov model
Hidden Markov Models for Molecular Motors
When wavelet meet HMM
Hidden Markov Tree model of Contourlet Transform
EM for HMM Multivar
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介绍了隐马尔科夫模型和它在语音识别方面的应用-A tutorial on hidden Markov models and selected applications on speech recognition
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物理马尔可夫链通常用来建模排队理论和统计学中的建模，还可作为信号模型用于熵编码技术，如算术编码（著名的LZMA数据压缩算法就使用了马尔可夫链与类似于算术编码的区间编码）。马尔可夫链也有众多的生物学应用，特别是人口过程，可以帮助模拟生物人口过程的建模。隐蔽马尔可夫模型还被用于生物信息学，用以编码区域或基因预测-Physical Markov chains are typically used to model queuing theory and statistics in modeling, b
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Hidden Markov processs
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