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Description: 结合PCA+LDA的图像识别算法VC封装类,PCA（主元素分析，光照敏感）,可用于人脸识别的初级算法-combination of image recognition algorithm VC Packaging category, PCA (principal component analysis, Light-sensitive), can be used for the initial face recognition algorithm
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Size: 3593 |
Author: 郑翠花 |
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Description: 该程序包含四种人脸识别优秀算法，PCA +LDA，BIC，EBGM。-The program contains four outstanding face recognition algorithm, PCA, the PCA LDA, BIC, elastic bunch graph matching.
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Size: 5902336 |
Author: 赵璟 |
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Description: 结合PCA+LDA的图像识别算法VC封装类,PCA（主元素分析，光照敏感）,可用于人脸识别的初级算法-combination of image recognition algorithm VC Packaging category, PCA (principal component analysis, Light-sensitive), can be used for the initial face recognition algorithm
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Size: 3072 |
Author: 郑翠花 |
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Description: PCA,LDA,LPP三种人脸识别的算法-PCA, LDA, LPP three face recognition algorithms
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Size: 16384 |
Author: wj |
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Description: 人脸识别基于pca lda mmc 的matlab代码-Face Recognition Based on pca lda mmc the matlab code
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Size: 56320 |
Author: ygl |
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Description: 基于"pca+lda+粗糙集+模糊神经网络"的人脸识别程序,在matlab上可直接运行-Based on pca+ Lda+ Rough Set+ Fuzzy neural network face recognition procedures can be directly run matlab
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Size: 7773184 |
Author: luo_hongbin |
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Description: Malic是一个完整的Linux下的人脸识别系统源代码，它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)-Malic is a complete face recognition system under the Linux source code, it is a SourceForge open source project, using real-time Malib treatment, CSU Face Identification Evaluation System for Face Recognition. Algorithms include: Principal component analysis (principle components analysis (PCA)), aka eigenfaces algorithm, mixed-principal component analysis, linear discriminant analysis (PCA+ LDA), the image difference classifier (IIDC), a flexible image matching algorithm (EBGM)
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Size: 1326080 |
Author: 张晓 |
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Description: 人脸识别工具箱,包含了PCA,LDA两中方法-Face Recognition toolbox contains PCA, LDA in the two methods
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Size: 59684864 |
Author: fengbin |
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Description: A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition.
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Size: 3522560 |
Author: dasf |
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Description: PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
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Size: 8192 |
Author: chen |
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Description: （压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.-pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati
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Size: 2048 |
Author: dong |
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Description: Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification
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Size: 463872 |
Author: 刘子木 |
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Description: PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-PCA+ LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
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Size: 3072 |
Author: zhoujingbo |
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Description: PCA ICA and LDA for Face-Recognition
this document helps you understand the main idea in
PCA ICA and LDA algorithms and their differences
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Size: 299008 |
Author: hamed danandeh |
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Description: PCA+LDA人脸识别，识别率高于单独PCA或LDA算法。需要matlab dimension reducation toolbox。-Face verification using PCA and LDA fusion. Better performance than single PCA or LDA algorithm. The image database is included. Matlab dimension reduction toolbox is requrired.
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Size: 1975296 |
Author: taiji |
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Description: This is a Simple Code for Face Recognition using PCA + LDA Approach. I hve write this code for ORL Database containing 400 images of 40 persons. I have used Eigenface Algorithm for Face Recognition. Its a Very Simple Code you can easily understand it. Thank You.
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Size: 6144 |
Author: Sandeep |
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Description: face recognitionand detection by lda,pca
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Size: 45056 |
Author: sandeep |
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Description: 完整的包括皮肤及动作识别的C++人脸检测源代码，涉及的技术有：小波分析，尺度缩减模型（PCA,LDA,ICA），人工神经网络（ANN），支持向量机（SVM），SSE编程，图像处理，直方图均衡，图像滤波，C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE Programming , image processing, histogram equalization, image filtering, C++ programming.
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Size: 462848 |
Author: 黄大伟 |
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Description: 用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。-LDA and PCA is a common methods of feature selection,These are their source code using matlab.
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Size: 1024 |
Author: qibe |
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Description: PCA LDA 人脸识别 特征脸 类间方差 人脸数据库-etween PCA LDA face recognition feature class variance face database
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Size: 2048 |
Author: z |
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