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基于隐而马可夫的连续语音识别中声学模型的建立及其实现-Based on Hidden Markov and continuous speech recognition acoustic model and its realization
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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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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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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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基于隐马尔可夫模型和高斯混合模型结合的声音转换方法.pdf-Combination of hidden Markov models and Gaussian mixture model-based voice conversion method. Pdf
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基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习-More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov
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一种基于小波域HMT（隐马尔科夫树）的去噪算法，包括小波变换函数、小波反变换函数，hmttrain HMT模型训练-A wavelet-based HMT (hidden Markov tree) denoising algorithms, including wavelet function, wavelet inverse transform functions, hmttrain HMT model training, etc.
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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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针对含噪图像增强问题, 提出一种基于小波域三状态隐马尔可夫树模型的方法 -For noise image enhancement problems, and puts forward three state based on wavelet domain hidden markov tree model method
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Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
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基于马尔可夫的HMT模型
使用EM算法进行参数训练-a hidden Markov tree model to the contourlet coefficients of images.These functions are based on the journal Directional Multiscale Modeling of Images Using the Contourlet Transform
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常用的图像去噪算法，基于隐马尔可夫树模型的小波去噪 基于尺度空间和context模型相结合的自适应小波去噪 基于尺度和空间混合模型的小波图像去噪 Bayes估计阈值软门限去噪 -The denoising algorithm used in image denoising, wavelet hidden Markov tree model based on adaptive wavelet denoising combining the scale space and context mode
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基于contourlet变换的隐性马尔可夫模型树程序包,是由Duncan Po等人编写-Hidden markov tree model based on contourlet transform package, is written by Duncan, Po, etc
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基于隐马尔科夫模型的中文分词系统，上交ieee专业大一作业，界面一般，主要用于学习，在此分享，注：开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development en
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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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基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)
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基于驾驶模拟器实验数据,结合高斯混合隐马尔可夫模型(GM-HMM),对高速公路的超车行为进行 辨 识 , 并 对 驾 驶 员 意 图 和 超 车 行 为 是 否 正 常 进 行 分 析 。 结 果 表 明 , 基 于 GM-HMM 的 辨 识 方 法 能 有 效 辨 识 多 种 驾 驶 工况下的不正常超车行 为 。(Based on driving simulator experiment data, combined with Gauss hybrid hidden Markov model
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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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