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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 ,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。这些程序都是基于"Directional Multiscale Modeling of Images Using the Contourlet Transform" by D. D.-Y. Po and M. N. Do,这个
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很好的关于人脸识别的毕业论文，从中国知网付费下载得到，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别 》希望对大家有用。-About Face Recognition of good theses, pay-per-download from the Chinese HowNet be, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" I hope useful t
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视频分析中目标标定算法，包含很多经典的算法，非常实用，欢迎下载-ObjMark_For_TrackingAggregateTrajectory Hidden Markov Model algorithm package （HMM），Contains a lot of classical algorithms, very useful, please download
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上下文分割算法EM 算法，相当经典。是基于小波域隐马尔可夫模型的多尺度图像分割。-Context of the EM segmentation algorithm, very classic. Is based on wavelet domain hidden Markov model multi-scale image segmentation.
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根据遥感图像纹理所呈现的多尺度特性和随机的特性，采用基于小波域
隐马尔可夫树模型对纹理进行分析，并有机地结合遥感图像的要求和特点进行深入研究。
-According to remote sensing image texture features presented and random multi-scale features, based on wavelet domain hidden Markov tree model for texture analysis, and the
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这是一个基于隐马尔科夫模型的去噪程序，具有一定的参考价值-This is a procedures based on hidden Markov model, it is worthy of a download
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Hidden Markov Models (HMM) have been used with
some success in recognizing printed Arabic words. In this
paper, a complete scheme for totally unconstrained
Arabic handwritten word recognition based on a Model
discriminant HMM is presented. A
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针对行为识别中行为者朝向变化带来的问题,提出了一种基于人体行为3D模型的2D行为识别算法.在学习行为
分类器时,以3D占据网格表示行为样本,提取人体3D关节点作为描述行为的特征,为每一类行为训练一个基于范例的隐马
尔可夫模型(Exemplar-based hidden Markov model,EHMM),同时从3D行为样本中选取若干帧作为3D关键姿势集,这个
集合是连接2D观测样本和人体3D关节点特征的桥梁.在识别2D行为时,2D观测样本序列可以由一个或多个非标定的摄
像机采集
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基于小波域隐马尔科夫树模型的图像分割-Based on Wavelet Domain Hidden Markov Tree Model Image Segmentation
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基于小波域隐马尔可夫模型树的纹理图像分割-Based on Wavelet Domain Hidden Markov Model Tree Texture Image Segmentation
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很好的论文，基于隐马尔科夫模型的人脸认证算法研究，H-Hidden Markov Model-based human face authentication algorithm
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基于隐马尔可夫模型的车牌自动识别技术，这个算法很经典的，对实时监测很有用。-Hidden Markov Model-based license plate recognition technology, this algorithm is very classic, very useful for real-time monitoring.
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本程序是基于隐马尔科夫模型（HMM）的方法在visual C++环境中实现人脸检测。-This procedure is based on the hidden Markov model (HMM) method in visual C++ environments face detection.
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基于变分贝叶斯的独立成分分析
模型包括一般的高斯混合模型以及高斯混合模型与隐马尔科夫结合在一起的-Based on variational Bayesian independent component analysis model consists of a general Gaussian mixture Gaussian mixture model and hidden Markov models and combined
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基于小波域的隐马尔可夫模型的图像去噪matlab代码，小波变换，隐马尔可夫模型-Wavelet domain Hidden Markov model-based image denoising matlab code, wavelet transform and hidden Markov models
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基于 系数分布统计特性，结合隐马尔可夫树模型和贝叶斯准则提出一种新的图像分割算法
-Based on statistical properties of the distribution coefficient combined with hidden Markov tree model and Bayesian guidelines propose a new image
segmentation algorithm
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一种基于Contourlet变换的隐马尔可夫模型的图像融合-A hidden Markov model image fusion based on Contourlet transform
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OpenCV基于隐马尔可夫模型（HMM）的人脸识别源程序(OpenCV based on Hidden Markov model (HMM) for face recognition source program)
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Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”.
This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s
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基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)
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