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Description: 站长！这是使用LDA和PCA模式识别方法对人脸特征进行提取计算的Matlab程序框架，比较好！-head! This is the LDA and the use of pattern recognition methods on PCA Facial Feature Extraction for the Matlab program, good!
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Size: 3324 |
Author: Jesson |
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Description: 基于PCA IDA LDA KPCA的人脸识别]
-IDA LDA KPCA Face Recognition]
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Size: 210403 |
Author: njustyw |
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Description: 这里面包含两个文件，可以实现主成分分析（PCA）算法和线性判别分析（LDA）算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
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Size: 3324 |
Author: hongbochen |
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Description: 现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。-existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.
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Size: 2513 |
Author: 小弟 |
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Description: 模式识别中统计模式识别的方法,包括贝叶斯，统计学习，LDA，PCA，SVM的经典方法，是不可多得的算法的toolbox-pattern recognition statistical pattern recognition methods, including Bayesian statistics study, LDA, PCA, SVM classical method, the algorithm is rare in toolbox
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Size: 471662 |
Author: guoyan |
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Description: PCA---主成分分析 LDA---线性区别分析此类实现结合两者的有缺点实现图像模式识别,其中需要有矩阵类-PCA principal component analysis --- --- LDA linear discriminant analysis combining the two to achieve such a flawed it Image is pattern recognition, which requires matrices
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Size: 3385 |
Author: 李辙 |
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Description: 数据降维工具箱，包括一些典型算法，例如pca，lle，mds，lda等。
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Size: 886535 |
Author: 圣少友 |
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Description: 支持向量机(SVM)、线形鉴别分析(LDA)、主分量分析(PCA)和人工神经元网络(ANN)源代码
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Size: 333530 |
Author: 李旸 |
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Description: 基于PCA和LDA的人脸识别。％ Main function that reads in files, applies pre-processing, calls face
％ recognition algorithm, and then plots resulting accuracy.
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Size: 6406 |
Author: Tonghua |
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Description: 运用fisher方法进行pca降维和Lda特征提取的人耳识别。
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Size: 1430 |
Author: 秦晴 |
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Description: 带的一个本科生做的静态人脸识别系统，用了pca和lda方法。
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Size: 196402 |
Author: 石红伟 |
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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，
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Size: 127037 |
Author: kim S.D. |
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Description: 非常有用的人脸识别工具包，包含了各种PCA,LDA, KPCA, KFA及其变种。在Matlab环境下可以直接运行。-The PhD (Pretty helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition.
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Size: 549888 |
Author: 柳兵 |
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Description: matlab，用来进行PCA算法和LDA算法的表述-Used to solve the PCA algorithm and LDA algorithm
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Size: 7168 |
Author: 李广 |
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Description: matlab平台实现人脸识别，通过PCA降维后再通过线性判别分析LDA实现人脸匹配。内附ORL人脸数据库，运行main函数即可输出结果-Matlab platform to achieve face recognition, PCA dimensionality reduction and then through linear discriminant analysis LDA face matching. Contains ORL face , run the main function to output the results
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Size: 4235264 |
Author: don |
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Description: 线性判别式分析，可以用来对数据进行分类或数据降维（不同于PCA）(Linear discriminant analysis)
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Size: 3072 |
Author: 茶味
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Description: 子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)
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Size: 1013760 |
Author: llb3112040011
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Description: the combination of m1652312_Particle filter for robot localization using WiFi measurements
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Size: 3989504 |
Author: mohammadfiuzy
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Description: Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Linear Discriminant Analysis (LDA)
Multidimensional scaling (MDS)
Isomap
Landmark Isomap
Local Linear Embedding (LLE)
Laplacian Eigenmaps
Hessian LLE
Local Tangent Space Alignment (LTSA)
Conformal Eigenmaps (extension of LLE)
Maximum Variance Unfolding (extension of LLE)
Landmark MVU (LandmarkMVU)
Fast Maximum Variance Unfolding (FastMVU)
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Size: 1003143 |
Author: 401116575@qq.com |
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Description: MATLAB人脸识别（PCA,LDA,KPCA,BP，可视化界面，摄像头）(Matlab face recognition (PCA, LDA, KPCA, BP, visual interface, camera))
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Size: 614400 |
Author: for Matlab |
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