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模式识别中线性判别分类器的C++源码,非常容易集成和使用!-pattern recognition linear discriminant classifier C source code, and is easy to integrate and use!
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模式识别中的距离分类器C++源代码,并含有一个文字识别的例子,适合模式识别、图像识别开发用!-pattern recognition of distance classifier C source code, and contains an example of character recognition, suitable for pattern recognition, Image Recognition by the development.
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模式识别中,对于服从多元正态分布的样本的一个分类器的实现。-pattern recognition, obedience multivariate normal distribution of a sample of the classifier is achieved.
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图像模式识别
模板匹配法
神经网络分类器
几何分类器
基于概率统计的贝叶斯分类器-image pattern recognition template matching neural network classifiers classification is based on geometric probability and statistics Bayesian classifier
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图像模式识别 模板匹配法 神经网络分类器 BP源代码-Image pattern recognition template matching neural network classifier BP source code
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模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
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《图像模式识别--VC++技术实现》/ 杨淑莹编著 配套cd
夲书介绍图像模式识别的各种算法及其编程实现。内容包括:模式识别的基夲槪念,模板匹配分类器,几何分类器,聚类分析,遗传算法聚类分析等。-" Image pattern recognition- VC++ technology to achieve" /杨淑莹edited夲book cd package introduced a variety of image pattern recognition algori
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图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
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分别通过模板匹配分类器、、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器对手写字进行模式分类,编写相关的程序可以参考此代码-Respectively, through template matching classifier,, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers for pattern classi
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选用支持向量机作为区分文本与非文本的分类器,支持向量机是在统计学习理论基础上发展起来的新一代学习算法,它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势。-Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of
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模式识别基础算法-线性分类器的源代码 有自动生成分类器和手工绘制分类器两种模式 附测试图片-Based pattern recognition algorithm- linear classifier with automatic source code generation classifier and two modes of hand-drawn classification test image attached
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本程序主要视图界面分两部分,左视图是训练样品设计,右视图是模式识别,可根据模式识别菜单项进行识别。分类器包括模板匹配分类器,Bayes分类器。分类法包括线性函数分类法,非线性函数分类法和神经网络分类法。-The program interface main view in two parts, the left view is the training sample design, the right view is the pattern recognition, pattern recogn
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模式识图像处理,用线性分类器实现,判别分类标准-Pattern recognition image processing, linear classifier achieved, identification and classification standards
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线性分类器设计:包括感知机算法,最小二乘法,线性SVM算法(模式识别作业)-Linear classifier design: including perceptron algorithm, least squares, linear SVM algorithm( pattern recognition task)
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模式识别 作业 实现自动产生样本,并用最近距离法,贝叶斯分类,Parzen窗概率密度估计-Pattern recognition operations automatically generate the sample, and with the recent distance method, Bayesian classifier, Parzen window probability density estimation
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用于模式识别的人脸识别方法,特征提取以及分类器改进-Face recognition method for pattern recognition, feature extraction and classifier improvement
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模式识别的内容,包括模式识别的基本概念、模式识别方法及应用。具体的内容包括:正则化网络、Bayes决策理论、分类器组合、统计学习理论、概率密度估计、非监督学习方法-Pattern recognition, including the basic concepts of pattern recognition, pattern recognition methods and applications.Specific content, including: Regularization Netwo
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这个是基于matlab制作的KNN 识别器的写法-This is K-Nearest Neighbour classifier used in pattern recognition.
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模式识别领域非线性SVM分类器设计原理,代码及过程-Pattern recognition domain nonlinear SVM classifier.experimental design principle, the code and process
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线性分类器设计,1_k近邻法,剪辑法,ANN-BP神经网络法,聚类分析法,特征选择,特征提取等模式识别常用算法,内有matlab可运行实现,还有word文档的说明。对于学习,是做好的资料。-Commonly used algorithm for linear classifier design the 1_k nearest neighbor, clip, ANN-BP neural network method, cluster analysis, feature selection, fea
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