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Description: 统计模式识别算法包，包括线性分类算法，SVM，PCA，LDA，EM，k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algorithms.
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Size: 5998592 |
Author: Xiaoyue Jiang |
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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: 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: 线性判别方法，人脸数据库上的LDA程序，基于Matlab，供学习使用-Linear discriminant method, human face database of LDA procedures, based on Matlab, for learning to use
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Size: 1024 |
Author: 吴梦 |
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Description: 线性判别方法，眼睛图像数据库上的LDA程序，基于Matlab，供学习参考-Linear Discriminant method, eye image database on the LDA procedure, based on Matlab, for study and reference
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Size: 2048 |
Author: 吴梦 |
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Description: 人脸识别程序中的调试 希望做毕业设计的同学朋友能有用-Face Recognition program debugging want to do design students graduating from a friend can be useful
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Size: 1024 |
Author: byrne |
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Description: LDA 人脸识别中的 makebaisc程序段 希望对毕业设计用的到的同学有用-LDA Face Recognition makebaisc program segment would like to graduate design students used to be useful
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Size: 1024 |
Author: byrne |
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Description: LDA人脸识别 rec 程序段 经测试完全可用 希望对大家有用-LDA face recognition program segment rec tested fully available to all of us hope that useful
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Size: 1024 |
Author: byrne |
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Description: LDA 人脸识别的 matlab 源程序 大家看看 可以用的-LDA face recognition matlab source code you can look at the
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Size: 346112 |
Author: byrne |
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Description: LDA 人脸识别的 程序段 大家下着看看吧 对大家有帮助的-LDA face recognition under the program segment we take a look at the bar for all of us help
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Size: 290816 |
Author: byrne |
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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: K-L+LDA结合了K-L和LDA优点的一个算法-K-L+ LDA combination of KL and the advantages of an algorithm for LDA
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Size: 2048 |
Author: zhangwenming |
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Description: 该程序包实现了模式识别中的两个特征提取算法，主成分分析PCA和线性判别分析LDA。采用C++语言编写，开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, development environment VS. Package also provides two test samples.
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Size: 46080 |
Author: tangxiaojun |
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Description: 非线性降维方法 可以应用于高维数据的机器学习-Nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
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Size: 1024 |
Author: 王博 |
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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: 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: 《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 |
Author: |
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Description: 基于LDA的人脸识别软件，malab环境。很不错。-LDA-based face recognition software, malab environment. Is pretty good.
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Size: 4105216 |
Author: 李力 |
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