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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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在维特比算法是一种寻找隐藏的国家最有可能的序列动态规划算法-被称为维特的道路-在一个事件序列的观测结果，特别是在马氏信源的背景下，更普遍，隐马尔可夫模型。 -The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of o
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This book provides the first unified, up-to-date, and tutorial-level overview of sequence
analysis methods, with particular emphasis on probabilistic modelling. Pairwise alignment,
hidden Markov models, multiple alignment, profile searches, RNA s
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采用Baum-Welch重估计算法对隐马尔科夫模型进行训练，使得结果达到最优化-Using Baum-Welch re-estimation algorithm for training hidden Markov models, making the results of optimized
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the newer version from HMMbox 3.2
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Re
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VARHMMBOX, version 1.1, Iead Rezek, Oxford University, MAR 2002
Matlab toolbox for Hidden Markov Models
(Adapted from Machine Learning Toolbox
Version 1.0 01-Apr-96
Copyright (c) by Zoubin Ghahramani, University of Toronto)
The softwa
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隐马尔可夫模型,浙江大学人工智能研究所.HMM的由来
马尔可夫性和马尔可夫链
HMM实例
HMM的三个基本算法
主要参考文献-Hidden Markov models, Artificial Intelligence Institute of Zhejiang University. HMM Origin
Markov and Markov chain
HMM example
The three basic algorithms HMM
Main referenc
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Hidden Markov Models for Molecular Motors A set of functions for analysing noisy recordings of the random stepping of molecular motors Author: Fred Sigworth-Hidden Markov Models for Molecular Motors A set of functions for analysing noisy recordings o
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发表在IEEED，用HMM做信号的小波去噪和检测的论文，引用率非常高-Wavelet-Based Statistical Signal Processing
Using Hidden Markov Models
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Hidden Markov Models and its Application in Automatic Speech Recognition
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CS 552/652
Speech Recognition with Hidden Markov Models
Summer 2009
Oregon Health & Science University
School of Science & Engineering
Division of Biomedical Computer Science
Center for Spoken Language Understanding
John-Paul H
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Wavelet-Based Mel-Frequency CepstralCoefficients for Speaker Identification using
Hidden Markov Models
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The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path – that results in a sequence of observed events, especially in the context of Markov information sources, and mor
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here is a source code for Hidden Markov Models
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this file about Morphology Analysis of Physiological Signals Using Hidden Markov Models
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Hidden Markov Models (HTK 3.3) usage steps
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