搜索资源列表
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1.Fisher分类算法
2.感知器算法
3.最小二乘算法
4.快速近邻算法
5.K-近邻法
6.剪辑近邻法和压缩近邻法
7.二叉决策树算法
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我们的模式识别作业,C++编的。主要包括特征提取部分,和分类器设计部分。-Pattern Recognition of our work, C++ for the. Including some of the main feature extraction and classifier design part.
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模式识别基本方法matlab源代码,包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
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this folder contain implemetation of three classifier in matlab
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高频系数融合均采用基于像素点绝对值取大的规则,这里要注意的是,比较的对象是两幅原始图像的像素点的绝对值,而融合后图像的像素点的取值是两幅原始图像像素点绝对值大的那一点的值,也就是说,要取绝对值大的那个点的实际值
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模式识别各种算法简单介绍,程序简单,容易理解-Brief introduction to a variety of pattern recognition algorithms, the program is simple, easy to understand
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function mean = ml_mean(data)
Calculate the maximum likelihood estimation of the mean
Written by Christiaan M. van der Walt
Meraka Institute
More resources available at http://www.patternrecognition.co.za
Reference:
C.M. van d
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完成了车牌识别 用模板匹配法 有标准字符库和程序 matlabGUI界面编程-pattern recognition
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