Description: 模糊支持向量机与主成分分析在人脸识别中的应用-Fuzzy Support Vector Machine with Principal Component Analysis Applied on Face Recognition Platform: |
Size: 5130240 |
Author:戴欢 |
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Description: 用支持向量机实现人脸的识别，虽然效果不是很好，不过也可和大家一起分享一下-Using Support Vector Machines Face Recognition realize that although the effect is not very good, but can also share with everyone Platform: |
Size: 357376 |
Author:杜鲁燕 |
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Description: 讲述svm在人脸识别中的应用的一篇质量上乘的演示ppt-About the SVM in face recognition applications in a high-quality presentation ppt Platform: |
Size: 90112 |
Author:赵大毛 |
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Description: KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method Platform: |
Size: 224256 |
Author:付赛男 |
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Description: 基于PSO训练SVM的人脸识别
利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA feature extraction method, applied to face recognition, the method in experiments to identify the performance of a good performance for the field of face recognition has provided a new way to identify Platform: |
Size: 1097728 |
Author:彭伟 |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition． Platform: |
Size: 236544 |
Author:费富里 |
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Description: 主要用于MATLAB的SVM的人脸识别功能，有具体的代码可以查询-MATLAB-SVM is mainly used for face recognition function, there is a specific code that can query Platform: |
Size: 2048 |
Author:陈杰 |
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Description: 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and recognition test. Platform: |
Size: 1024 |
Author:李海 |
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Description: 基于matlab2008的人脸识别系统，使用了PCA
+Adaboost与PCA+SVM分别实现了人脸识别，使用了orl人脸库，给一个人的图片就可以识别此人身份，识别率高达84 -Matlab2008 face recognition system based on use of the PCA
+ Adaboost achieved with the PCA+ SVM face recognition, respectively, using the orl face database, to a person s picture on the identity of this person can be identified, the recognition rate as high as 84
Platform: |
Size: 16052224 |
Author:周天 |
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Description: 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce the dimensions with pca, and finally multi-category classification svm classification and recognition, including the expansion of the complete orl face database, must be noted that, svm toolbox is to use the libsvm toolbox, configured before running libsvm. Version: libsvm-mat-2 [1] .89-3 [FarutoUltimate3.0] Platform: |
Size: 11366400 |
Author: |
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Description: 用PCA 和 SVM 做的人脸识别程序，与大家分享！-To do with PCA and SVM face recognition program, to share with you! Platform: |
Size: 230400 |
Author:FYAC |
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Description: 含有PCA经典人脸识别方法和PCA+SVM人脸识别方法-Classical Face Recognition with PCA and PCA+ SVM face recognition method Platform: |
Size: 7272448 |
Author:xiaoxiongaa |
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Description: 采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface Platform: |
Size: 9036800 |
Author:钟佩 |
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Description: Gabor与svm的人脸识别程序，能够运行，七个文件 写的不错 很有参考价值 先分类 后识别人脸-Gabor face recognition with svm program to run, seven documents useful reference for writing a good face recognition after the first classification Platform: |
Size: 161792 |
Author:晒太阳 |
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Search - face recognition with svm