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Description: 这是一个马尔可夫网络的代码，用Visual C++编写-This is a Markov network code, prepared using Visual C
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Size: 47060 |
Author: 李兵兵 |
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Description: 提供Markov的ppt讲稿，很系统。Markov网络是一个无向图，它可进行不确定性的知识推理，无向边可解释词间相关性，通过Markov网络学习机制获得词的相关信息。
-provide the ppt script, very systematic. Markov network is an undirected graph, it could be the uncertainty of knowledge, reasoning, No words can explain to the edge between relevance, through Markov network learning mechanism words of relevant information.
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Size: 574667 |
Author: 大海 |
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Description: 这是一个马尔可夫网络的代码，用Visual C++编写-This is a Markov network code, prepared using Visual C
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Size: 47104 |
Author: 李兵兵 |
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Description: 提供Markov的ppt讲稿，很系统。Markov网络是一个无向图，它可进行不确定性的知识推理，无向边可解释词间相关性，通过Markov网络学习机制获得词的相关信息。
-provide the ppt script, very systematic. Markov network is an undirected graph, it could be the uncertainty of knowledge, reasoning, No words can explain to the edge between relevance, through Markov network learning mechanism words of relevant information.
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Size: 574464 |
Author: 大海 |
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Description: gibbs，beyesian network，intelligent inference, Markov, BeliefPropagation.
It is a very good surce code for intelligent reasoning research-gibbs, beyesian network, intelligent inference, Markov, BeliefPropagation. It is a very good surce code for intelligent reasoning research
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Size: 27648 |
Author: 程红 |
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Description: 基于改进的隐马尔可夫和神经网络混合模型的语音识别-Based on an improved Hidden Markov and neural network hybrid model of voice recognition
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Size: 302080 |
Author: 张大鹏 |
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Description: 马氏过程的应用很广， 机器人路径计划， 自动飞行器导航，多目标跟踪， 电梯计划， 网络交换和路由， 银行客户保有等等。-Application of Markov process is broad, robot path plan, automatic vehicle navigation, multi-target tracking, lift plans, network switching and routing, bank customers to maintain and so on.
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Size: 9216 |
Author: bocai |
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Description: 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 texture classification method. It uses 2 Gaussian Markov Random Field Model (GM RF) to describe the texture, the model parameters is the texture feature, parameter estimation using least squares error obtained. the estimated parameters as the expression of texture feature vector, using the characteristics of sensor networks for classification, and the use of function to resolve connection problems can not be separated from linear. of texture images of the experiments show that this approach can enhance the learning speed, to simplify the calculation process and obtain a better effect of texture classification.
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Size: 285696 |
Author: singro jiang |
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Description: 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognition Technology and Engineering Practice [2nd edition]" CD-ROM source code, including the EM algorithm, fisher discriminant function, HMM hidden Markov model, BP neural network, wavelet transform, alpha- beta pruning, A* algorithm, but also contains a number of texture analysis, face positioning, character recognition, license plate number recognition, digital 8, Reversi, offline/online signatures examples, so for studying pattern recognition, artificial intelligence friends are of great benefit. CD-ROM material, see the other resources.
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Size: 14680064 |
Author: 吴 |
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Description: 一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
-Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importance in these applications. Dynamic Time-Warping (DTW) is one of the prominent techniques to accomplish this task, especially in speech recognition systems. DTW is a cost minimisation matching technique, in which a test signal is stretched or compressed according to a reference template.
Although there are other advanced techniques in speech recognition such as the hidden Markov modelling (HMM) and artificial neural network (ANN) techniques, the DTW is widely used in the small-scale embedded-speech recognition systems such as those embedded in cell phones. The reason for this is owing to the simplicity of the hardware implementation of the DTW engine, which makes it suitable for many mobile devices. Additionally, the training procedure in DTW is very simple and fast, as compared with the HMM and ANN rivals.
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Size: 2658304 |
Author: 宋小小 |
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Description: Visual C++数字图像模式识别技术及工程实践(随书光盘）人民邮电出版社2003张宏林本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等,同时结合模式识别中的一些经典问题,从多种不同的角度介绍了这些问题的解决思路。-Visual C++ Digital Image Pattern Recognition Technology and Engineering Practice (Book with CD-ROM)张宏林Posts & Telecom Press, 2003 book of pattern recognition and artificial intelligence, introduced some of the basic theory and some related models, including Bayesian decision-making, Linear Discriminant function, neural network theory, hidden Markov models, clustering technologies, combined with some of the classic pattern recognition problems, from the perspective of a variety of introduced ideas to solve these problems.
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Size: 39604224 |
Author: swallow |
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Description: 马尔科夫网的概念_方法及其在图像处理中应用-The concept of Markov Network and Its Application in Image Processing
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Size: 569344 |
Author: 夏余 |
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Description: Queueing network and markov chains problem program
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Size: 401408 |
Author: ahmet |
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Description: 《精通VisualC++数字图像处理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一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition technology and engineering practice," describes the pattern recognition and artificial intelligence in some of the basic theory, and a number of related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov Cardiff model, clustering technologies, combined with pattern recognition in a number of issues, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from several angles, introduced ideas to solve these problems
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Size: 11152384 |
Author: 吴晶 |
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Description: 用马尔科夫网络将图像分块处理，包括描述函数和传递函数-Markov network with block image processing, including a description of functions and transfer function
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Size: 9216 |
Author: 黄 |
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Description: 算法大全 全书分30章及2附录（在MATLAB中实现）对常用数学算法进行汇总介绍。
主要包括：线性规划、非线性规划、动态规划、图与网络、排队论、对策论、层次分析法、插值与拟合、数据的统计描述和分析、方差分析、回归分析、微分方程建模、稳定状态模型、常微分方程解法、差分方程模型、马氏链模型、变分法模型、神经网络模型、偏微分方程的数值解、目标规划、模糊数值模型、现代优化算法、时间序列模型、存贮论、经济与金融的优化问题、生产与服务运作管理中的优化问题、灰色系统理论及其应用、多元分析、偏最小二乘回归以及附录-Complete collection of algorithm including 30 chapters and 2 appendices: linear programming, nonlinear programming, dynamic programming, graph and networks, queuing theory, game theory, the level of analysis, interpolation and fitting, statistical description and analysis of data , analysis of variance, regression analysis, differential equations modeling, steady-state model, ordinary differential equation solution, difference equation model, Markov chain model, variational method model, neural network model, the numerical solution of partial differential equations, goal programming, fuzzy numerical model, modern optimization algorithms, time series models, storage theory, the optimization of economic and financial issues, production and service operations management in the optimization problem, gray system theory and its applications, multivariate analysis, partial least squares regression, and Appendix
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Size: 7684096 |
Author: 商志远 |
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Description: Network Simulation and Modelling- Markov Chain Representation
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Size: 1024 |
Author: Bella Donna |
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Description: 这是我的毕业设计的完整程序，非常有参考价值，包括数据，预处理，训练，识别，包括眼马尔科夫模型和神级网络，马上毕业了，传上做个纪念-This is my graduation project of the complete program is very valuable, including data, preprocessing, training, recognition, including the eye-level Markov model and the God of the network, once graduated, to be a memorial mass on
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Size: 2311168 |
Author: 晓晓 |
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Description: 面向QOS的马尔可夫选择决策算法，通过对算法模型合理化构建过程于异构环境特点的紧密结合，最大程度满足异构网络环境中用户QOS的长期效益-Facing the QOS markov selection decision algorithm, based on the rationalization process in constructing algorithm model heterogeneous environment characteristics of closely, satisfy heterogeneous network environment the user QOS long-term benefits
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Description: A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states. An HMM can be considered as the simplest dynamic Bayesian network. The mathematics behind the HMM was developed by L. E. Baum and coworkers
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Size: 150528 |
Author: adek |
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