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Description: 2DPCA新的降维方法,是PCA的改进,新,很值得一看!-2DPCA new dimension reduction method is PCA improvements, the new, it is worth a visit!
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Size: 1024 |
Author: 黄传波 |
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Description: 线性鉴别技术是一种较好的分类技术,本程序采用了基于PCA与LCA的人脸识别方法使人脸识别效率得到提高-Linear identification technology is a better classification techniques, the procedures for the use of PCA and LCA-based face recognition method of face recognition efficiency
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Size: 1024 |
Author: 黄璞 |
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Description: 实用可能的主成分分析(PCA)和线性判别分析(LDA)，训练和检查，-Practical potential of principal component analysis (PCA) and linear discriminant analysis (LDA), training and inspection,
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Size: 126976 |
Author: kim S.D. |
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Description: 高维PCA结合LDA使用-Combination of high-dimensional LDA using PCA
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Size: 4096 |
Author: wzh |
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Description: 这是一个LDA函数，先做PCA，再做LDA，不影响识别率-This is an LDA function, first PCA, again LDA, does not affect the recognition rate
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Size: 3072 |
Author: Gu Zhenghong |
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Description: 这是自己毕业设计做的PCA和LDA的结合，训练和识别过程都有，用的是ORL库里的图像，具有较高的识别率！-This is the pca+lda,and it has the good recognition!
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Size: 6144 |
Author: rainbow |
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Description: 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
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Size: 24576 |
Author: yuanna |
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Description: 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available:
- Principal Component Analysis ( PCA )
- Linear Discriminant Analysis ( LDA )
- Multidimensional scaling ( MDS )
- Probabilistic PCA ( ProbPCA )
- Factor analysis ( FactorAnalysis )
- Sammon mapping ( Sammon )
- Isomap ( Isomap )
- Landmark Isomap ( LandmarkIsomap )
- Locally Linear Embedding ( LLE )
- Laplacian Eigenmaps ( Laplacian )
- Hessian LLE ( HessianLLE )
- Local Tangent Space Alignment ( LTSA )
- Diffusion maps ( DiffusionMaps )
- Kernel PCA ( KernelPCA )
- Generalized Discriminant Analysis ( KernelLDA )
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Size: 1108992 |
Author: yang |
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Description: 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, on the other did not pay attention to details. Here there is a very detailed notes. In addition, attach a Naive Bayesian classifier, we can compare. Fringe image packages are OLR people face. ReducedDim you want to extract the characteristics of a few, not a percentage!
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Size: 3742720 |
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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: face recognition with lda+pca
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Size: 3072 |
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: 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: 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: 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09，在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法，比如SVM，PCA，LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类，效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of ways for paater classification, such as SVM, PCA, LDA, etc. I hope it is helpful for readers.
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Size: 5998592 |
Author: Mountain |
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Description: 子空间学习的代码，主要包括人脸识别中常用的特征提取算法如pca lda 以及目前常见的流行学习的相关代码-Subspace learning the code, mainly including commonly used in face recognition feature extraction algorithms such as pca lda and the current prevalence of common learning-related code
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Size: 173056 |
Author: dd |
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Description: 主成分分析的代码，降维的工具，特征提取降维的工具-PCA code
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Size: 1024 |
Author: dengzhaoxiong |
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Description: 人脸识别的源代码 经典的pca和lda人脸识别
实现的成功率有待改进 好的可以达到70 -Face recognition source code for pca and lda classic face recognition could be improved to achieve a good success rate can reach 70
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Size: 2048 |
Author: 华 |
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Description: FisherFace, an algorithm based on PCA and LDA
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Size: 3072 |
Author: Nguyen Viet Thang |
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