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imdict-chinese-analyzer 是 imdict智能词典 的智能中文分词模块，算法基于隐马尔科夫模型(Hidden Markov Model, HMM)，是中国科学院计算技术研究所的ictclas中文分词程序的重新实现（基于Java），可以直接为lucene搜索引擎提供简体中文分词支持。-imdict-chinese-analyzer is a smart imdict Chinese Dictionary smart module segmentation algorithm
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隐马尔可夫模型的模拟实现，计算出了最大概率的状态序列。-Simulation and Realization of Hidden Markov Model to calculate the maximum probability of state sequence.
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使用天气预报例子的隐马尔科夫模型，简单化计算，对初学HMM的人有借鉴意义-The use of weather forecast example hidden Markov model, simplified calculation of the beginner who is worth learning for HMM
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扩展的隐马尔科夫模型代码，general HMM，另外一种HMM，更复杂，适合对HMM有进一步研究的人做参考-The extended hidden Markov model code, general HMM, another kind of HMM, more complex, suitable for further study of HMM were a reference
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隐马尔科夫模型的代码。隐马尔科夫模型在图像处理中的作用越来越重要啦。-Hidden Markov model code. Hidden Markov Model in Image Processing an increasingly important role啦.
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Hidden Markov Model (HMM) Toolbox written by Kevin Murphy
A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the
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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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a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module
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This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others.-This code implements in C++ a basic
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hidden markov model toolkit
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This paper presents a technique which is based on pattern recognition techniques, in order to estimate
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information
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这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前，它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using la
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VisualBasic 的 HMM 范例
HMM模型，Viterbi，滑动窗算法唐纳 Helland（定位在人类的DNA基因的目的)-HMM、Viterbi、and Sliding Window Algorithms (for purposes of locating genes in human DNA) by Tanner Helland
This project demonstrates use of a Hidden Markov Model (HMM) to define
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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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hidden markov model toolbox
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模式识别中比较重要的隐性马尔科夫模型，希望对大家有所帮助-Pattern recognition of the more important hidden Markov model, we want to help
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隐马尔科夫模型源代码，隐马尔科夫模型的训练，输入序列得到隐马尔科夫模型。-Hidden Markov model source code, training of hidden Markov model, the input sequence hidden Markov model.
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Hidden Markov Model to train anything we may want from basic phonemes to words to anything else for that matter.
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隐马尔科夫模型（HMM）C++代码，自己实现的，注释也很详细，希望对大家有用。-Hidden Markov Model.C++
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在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++
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