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The goal of this paper is to describe an off-line
segmentation-free Arabic handwritten words recognition
system. This system is based on a semi-continuous 1-
dimensionnal hidden Markov models (SCHMMs)
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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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This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapping hierarchical windows are used to generate 16 features from each ver
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该书详细介绍了语音识别工具箱htk的使用方法和隐马尔科夫模型用于语音识别的原理，对工具箱中各个主要函数的原理及参数说明都有详细的说明。-The book details the use of speech recognition toolkit htk methods and hidden Markov models for speech recognition in principle, each of the major functions of the toolbox to the pri
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The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into sp
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Hidden Markov Models
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Hidden Markov Models
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Ensemble Learning for Hidden Markov Models.
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Hidden Markov Models, the Viterbi Algorithm, and CpG Islands (in VB6)
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Patter Classification Duda 2nd 书中Example的代码 Hidden Markov Models前向算法，后向算法以及译码算法-HMM Forward Algorithm
HMM Backward Algorithm
HMM Decoding Algorithm
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this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. -this Program utilized a new method
for generation
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隐马尔可夫模型(HMM)模型的源码。隐马尔可夫模型(HMM)模型的随机方法和时间序列数据。-Hidden Markov Models (HMM) are stochastic methods to model temporal and sequence data.
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基于应隐马尔科夫模型的词性标注实现，Viterbi算法实现 -Should be based on hidden Markov models to achieve part of speech tagging, Viterbi algorithm
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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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该程序为matlab环境下，运用隐马尔可夫模型检验中文地名语音识别系统的正确性。-The program for the Matlab environment, the use of hidden Markov models to test the correctness of the speech recognition system for Chinese place names.
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visual C++数字图像模式识别技术及工程实践。介绍了模式识别和人工智能中的基本内容和相关模型，如：隐马尔可夫模型、聚类技术等，同时结合模式识别中的经典问题如：笔迹鉴定、人脸检测、车牌识别、医学图片处理等，从不同的角度介绍了这些问题，给出了基于C/VC++的代码实现。-visual C++ digital image pattern recognition technology and engineering practice.The basic content and related mo
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Hidden Markov models
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A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture and
Hidden Markov Models
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a tutorial on hidden markov models and selected applications in speech recognition
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基于HMM和SVM分类器的人脸识别系统，非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
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