搜索资源列表
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用Matlab实现的隐蔽马尔可夫模型(Hidden Markov Model:HMM)-Hidden Markov Model(HMM) with matlab
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HMM(隐马尔可夫模型)的matlab算法代码,HMM (Hidden Markov Model) algorithm matlab code
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隐马尔科夫模型的ppt课件,比较通俗易懂-Hidden Markov model ppt courseware, more user-friendly
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基于隐马尔科夫模型的人脸识别系统,包含完整的测试程序-Hidden Markov Model based face recognition system, including a complete test program
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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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Hidden Markov Model Toolbox
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a lab for hidden markov model using matlab
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hmm hidden markov model
nice pretty code good luck-hmm hidden markov model
nice pretty code good luck!!!
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Contourlet变换中的隐马尔科夫树模型程序 Hidden Markov Tree model of Contourlet Transform 2008年11月14日 MATLAB2 (R2006a) 这是一个Matlab实现的隐马尔科夫树模型,用于计算图像的Contourlet系数。程序同时还包括图像去噪、纹理恢复的应用模型。-Contourlet transform the hidden Markov model procedures for Hidden Markov Tree mod
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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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Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.
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自己编的 利用隐式马尔科夫过程进行目标状态估计-Using implicit markov process to estimate target state
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马尔科夫链的matlab仿真,马尔可夫模型(Markov Model,MM)是统计模型,它用来描述一个含有隐含未知参数的马尔可夫过程。-Matlab simulation of Markov chains, Markov models (Markov Model, MM) is a statistical model, which is used to describe an unknown parameter containing hidden Markov process.
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Heart Sound Localisation & Hidden morkov model estimation
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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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A hidden Markov model for identifying chromatin domains multiple histone modificaiton data-A hidden Markov model for identifying chromatin domains multiple histone modificaiton data
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Image classification by a Two Dimensional Hidden Markov Model
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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-Model-master program in matlab
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hidden markov model matlab source code
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