搜索资源列表
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这个是隐markov模型中viterbi算法实现的一个具体实例程序 很好-This is a hidden markov models Viterbi Algorithm in a specific example of good procedures
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关于采用嵌入式隐马尔可夫模型和神经网络的人脸识别博士论文，希望对做人脸识别论文和算法设计的人员有帮助。-on the use of embedded hidden Markov models and neural networks face recognition doctoral dissertation, want to do face recognition algorithm design papers and the staff helpful.
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CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001
Matlab toolbox for max. aposteriori estimation of two chain
Coupled Hidden Markov Models.
-CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. apo
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HMMBOX, version 3.2, William Penny, Imperial College, Feb 1999
Matlab toolbox for Hidden Markov Models-HMMBOX, version 3.2, William Penny, Imperial College, Feb 1999 Matlab toolbox for Hidden Markov Model s
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VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models-VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002 Matlab toolbox for Hidden Markov Model s
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基于隐马尔可夫模型HMM的人脸检测和识别代码-based on Hidden Markov Models HMM face detection and identification codes
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In this paper, we consider the problem of filtering in relational
hidden Markov models. We present a compact representation for
such models and an associated logical particle filtering algorithm. Each
particle contains a logical formula that de
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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. Serious students are directed to the
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Hidden_Markov_model_for_automatic_speech_recognition
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
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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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A Tutorial On Hidden Markov Models and Selected Applications in Speech Recognition.rar
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隐马尔可夫模型，C语言编写，重要的是里面附带有隐马尔可夫模型原理介绍的ppt，可以对应学习-HMM, C language, it is important that they are incidental tenets of Hidden Markov Models introduced ppt, can learn from counterparts
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离散隐马尔科夫模型工具箱
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EM算法简明教程 用于高斯分布隐马尔可夫模型的参数估计,Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
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用java实现的隐马尔科夫模型，含代码，文档，使用手册。-With the java implementation of hidden Markov models, including code, documentation, user' s manual.
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Profile hidden Markov models (profile HMMs) can be used to do sensitive database searching using statistical descr iptions of a sequence family s consensus. HMMER is a freely distributable implementation of profile HMM software for protein sequence a
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用来实现隐马尔科夫树的分类，已运行过，绝对可用-wavelet domain hidden Markov models
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In this paper pseudo 3-D Hidden Markov Models
(P3DHMMs) are applied to the task of dynamic facial expression
recognition. P3DHMMs are an extension of the
pseudo 2-D case, which has been successfully used for the
classification of images and t
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The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet
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Hidden Markov Models (HMMs) are a popular approach
for speech recognition. Commonly, a left-to-right Markov
chain topology is used, where each phoneme is represented
by a sequence of states (typically three) [
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