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一个马尔科夫分类算法，其中使用了马尔科夫估计方法，分类的精度高。-a classification algorithm, which used Markov estimation, classification of high accuracy.
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基于隐马尔可夫模型的音频自动分类-based on Hidden Markov Models audio automatic classification
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
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CRF1.2，条件随机场软件包，很好用很流行的一个文本分类软件，可以用于自然 语言的处理，标签，分类，词性发现，用户只需要着重构造特征函数既可以，实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language proc
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HMM的c实现，对理解HMM很有用，尤其是动态手势识别中，手运动的建模基本都基于H-HMM of c realization of HMM is useful for understanding, especially in the dynamic gesture recognition, hand movements are based on modeling the basic H
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提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果.
-Based on the function connected perceptron neural network tex
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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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1下载：
SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
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Hiden Markov Model的C语言实现，目前比较好的一个实现。用于机器学习，模式识别，分类算法-Hiden Markov Model of the C language, an implementation of the present better. For machine learning, pattern recognition, classification algorithm
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《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。
-This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
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a novel algorithm to segment
an audio piece into its structural components.
The boundaries of the homogeneous regions are decided
based on various time and frequency domain
features. The algorithm has been designed in 2 stages.
In the first
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MRF classification for remote sensing images
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DHMM，离线隐马尔科夫模型用于模式分类的好例子，特征采用Kmeans进行离散化。-DHMM, off-line Hidden Markov Model good example for pattern classification, feature discretization using Kmeans.
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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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指纹分类是针对大型指纹库的一个重要的索引方式, 可以有效地提高指纹匹配的效率. 指纹类型的不同表现为指纹纹
理结构的差异, 而指纹的方向场则可以有效地描述纹理结构的差异. 同一类型指纹不同区域上方向角结构的差异以及相邻区域
间方向角结构的联系可以视作一个马尔可夫随机场. 本文利用嵌入式隐马尔可夫模型对指纹方向场进行建模分析, 通过合理地
抽取指纹的类型特征, 构造观察向量、进行建模训练, 然后利用训练好的马尔可夫模型进行匹配, 最终提出并实现了一种新的鲁
棒性强且精度较高的指纹分
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Daniel Munoz的论文Contextual Classification with Functional Max-Margin Markov Networks-Daniel Munoz paper Contextual Classification with Functional Max-Margin Markov Networks
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利用过绿色作为分类方法，分成两类后，应用马尔科夫随机场进行分割。-Made use of green as the classification method, after divided into two categories, the application of Markov random segmentation.
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特征训练识别的嵌入式隐马尔可夫模型代码，可用于人脸识别的分类-Training recognition feature embedded hidden Markov model code, can be used for face recognition classification
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Image classification by a Two Dimensional Hidden Markov Model
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In this paper we present the necessary theory to
detect fraud in credit card transaction processing using a
Hidden Markov Model (HMM). An HMM is initially trained
with the normal behavior of a cardholder. If an incoming
credit card transaction is
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