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一种常用的分类器,常用于人脸识别、掌纹识别等模式识别领域。
-A common classification, commonly used in face recognition, palmprint recognition, pattern recognition.
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一个用PCA和LDA降维,并用knn分类的人脸识别例程-A dimension reduction using PCA and LDA, and face recognition with the knn classification routines
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a trial version of PCA and Knn to face recognition. This file is not a full version of a code knn, however it is a good approach to start one.
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KNN分类算法实现人脸识别,数据集为ORL。训练样本分别为2、4、6,其余为测试样本。-KNN classification algorithm for face recognition, the data set for the ORL. 2,4,6 training samples respectively, the rest of the test samples.
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这个程序实现的是knn分类器,用的实例是来人脸识别,来检测分类器的有效性-This program is knn classifier instance is to use face recognition to detect the validity of the classifier
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PCA主成分分析,采用KL投影和SVD分解提取人脸特征向量,最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
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可以demo的KNN分类器,对模式识别十分重要的作用,有着较好的分类效果,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-Can demo KNN classifier, the pattern recognition is an important role, has a good classification effect, can help beginners a better understanding of KNN principle, has a very good
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可以分别设置度量距离的KNN分类器,有欧式和马氏距离。对模式识别十分重要的作用,有着较好的分类效果,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-Distance can be set respectively KNN classifier, style and markov distance. For pattern recognition is an important role, has a good classification effect, can help be
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可以分别介绍MFA,又名边界Fisher分析。对模式识别十分重要的作用,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-Can introduce MFA respectively, also known as boundary Fisher analysis. For pattern recognition is an important role, can help beginners a better understanding of KNN principle, has
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人脸识别的matlab程序,包含有
example: 演示程序
creatData:生成数据
creatTrainLabelMat:生成数据标签
LDA:提取fisherface
knnRecognition:knn分类器
knnsearch:knn搜索-Face recognition matlab procedures, including a example: demo program creatData: generate data creatTrainLabel
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用PCA算法和KNN算法实现人脸识别,参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
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在MATLAB2014b版本,进行人脸识别,包含PCA降维、LDA线性判别、KNN最近邻算法等技术(In MATLAB2014b version, face recognition is carried out, including PCA dimension reduction, LDA linear discriminant analysis, KNN nearest neighbor algorithm and so on.)
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