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Description: 关于线性（FISHER）判别分析的中文文献，从核心期刊中下载得到。-About Linear (FISHER) Discriminant Analysis of English literature, from the core journals have been downloaded.
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Size: 2473984 |
Author: 宦若虹 |
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Description: 模式识别常用函数，包括模式融合、PCA、LDA等经典算法-common function in pattern recognition，including pattern fusion，PCA.
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Size: 72704 |
Author: 留耳闻 |
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Description: 这是用vc++语言编写的程序，里面有封装好的类，可以直接使用，包括PCA+LDA图形识别算法-This is using vc++ language preparation procedures, which have well-type package can be used directly, including PCA+ LDA pattern recognition algorithm
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Size: 3072 |
Author: 吴承昊 |
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Description: 对于PCA ，LDA，BIC，EBGM都有很详细的代码。但是需要在LINUX下配置运行。不过代码较有参考价值。-For PCA, LDA, BIC, EBGM have a very detailed code. But the need to configure to run under LINUX. However, a more useful code.
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Size: 5902336 |
Author: xiaobai |
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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: face recognition with lda+pca
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Size: 3072 |
Author: mahdi |
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Description: source compute projection lda
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Size: 2048 |
Author: mahdi |
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Description: 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)等等
Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.-It is a SourceForge open source project, using real-time Malib processing, 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), etc. such as Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.
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Size: 1326080 |
Author: 乔超 |
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Description: 人脸识别技术，用lda算法提取特征，MATLAB 源代码；希望对大家有帮助哈。-Face Recognition technology, with the characteristics of lda algorithm, MATLAB source code I hope all of you help Kazakhstan.
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Size: 1024 |
Author: 陈汀 |
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Description: MATLAB的LDA人脸识别计算率的程序在ORL库上可以运行的-MATLAB calculation of the rate of the LDA Face Recognition in the program can run on the ORL database of
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Size: 2048 |
Author: 郝会娟 |
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Description: matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification)
PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
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Size: 74752 |
Author: 大长今 |
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Description: 针对灰度图像，提出一种基于知识的人脸检测方法。
提出了一种给予支持向量机的人脸检测方法。
提出了一种基于小波分解的LDA人脸识别方法。
提出了一种基于小波和DCT的人脸识别方法。
提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。
-For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.
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Size: 7113728 |
Author: yanyan |
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Description: This a MFC program to test direct linear discriminant analysis (direct LDA) for face recognition. Histogram equalization is used as a preprocessing and direct LDA is used to reduce a dimension in feature space from train images. Minimum Euclidean distance is used for face recognition of test images. -This is a MFC program to test direct linear discriminant analysis (direct LDA) for face recognition. Histogram equalization is used as a preprocessing and direct LDA is used to reduce a dimension in feature space from train images. Minimum Euclidean distance is used for face recognition of test images.
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Size: 8902656 |
Author: SUNGWOONG KIM |
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Description: 基于LDA人脸识别的LDA的主程序的程序代码-LDA-based face recognition of the LDA' s main program code
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Size: 1024 |
Author: snowyzhao |
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Description: 二维的LDA+PCA人脸识别matlab程序，都可以直接使用。-Two-dimensional LDA+ PCA face recognition matlab procedures can be used directly.
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Size: 2808832 |
Author: 风铃 |
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Description: lDA人脸识别,有很高的效率,而且确定可用,希望大家都来-FACE RECOGNITION
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Size: 1024 |
Author: grubby |
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Description: Latent Dirichlet Allocation算法的C++实现-Algorithm for Latent Dirichlet Allocation of C++
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Size: 212992 |
Author: dongyi |
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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: LDA的c语言实现，LDA是一个针对文档的分层概率模型。-This is a C implementation of latent Dirichlet allocation (LDA), a
model of discrete data .
LDA is a hierarchical probabilistic model of documents.
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Size: 25600 |
Author: 杨过 |
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Description: 2DLDA PK LDA for feature extraction
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Size: 201728 |
Author: salehamasood |
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