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Description: 普通降维方法汇总，PCA，LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
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Size: 195584 |
Author: 劲 |
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Description: 采用基于lpp和lda算法的人脸识别，本算法同时结合lpp算法和lda的有点，能够很好地进行人脸识别。-face recognition based on lpp and lda
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Author: 江江 |
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Description: pca lda knn 进行分类的pca部分的代码-pca lda knn classification of the pca part of the code
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Size: 2048 |
Author: shelley |
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Description: MATLAB 图像正交变换
正交变换通用算子 傅立叶变换
离散余弦变换 Walsh- Hadamard 变换 Radon 变换 小波变换
-MATLAB image orthogonal transform orthogonal transform generic operator Fourier transform discrete cosine transform Walsh-Hadamard transform Radon transform wavelet transform
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Size: 5120 |
Author: 齐子新 |
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Description: 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
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Size: 4096 |
Author: tai shu worn |
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Description: In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
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Size: 2048 |
Author: sofi |
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Description: 首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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Size: 2048 |
Author: gu |
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Description: face detection matlab script + pdf
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Size: 640000 |
Author: Sami |
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Description: 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influence of the
eigenvectors which relate to the changes of the iUumination on abstract features，a modified PCA ( A)
algorithm is propo sed．The method is based on the idea of reducing the influence of the eigenvectors associated
with the large eigenvalues by normalizing the feature vector element by its corresponding standard deviation．
Th e Yale face database and Yale face database B are used to verify the method．The simulation results show
that，f0r front face and even under the condition of limited variation in the facial po ses the proposed method
results in better perform ance than the conventional PCA and linear discriminant analysis(LDA)approaches．and
the computational cost remains the same as that ofthe PCA，and much less than that ofthe LDA．
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Size: 205824 |
Author: 费富里 |
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Description: 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别
会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识
别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括Eigenfaces、Fish—
erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representation with enhanced discriminatory power is of paramount importance to face
recognition(FR)system．Linear Discriminant Analysis(LDA)is one of the most popular linear classification techniques of
feature extraction。but it will meet two problems as computational challenging and “small sample size’’when applying to
face recognition directly．After studying people solve the two problems through several ways and realize the face recogni—
tion based on LDA． The short paper here makes compare on theory and experimental data analysis on several Face
Recognition system using LDA—Based Algorithm，such as Eigenfaces(using PCA)，Fisherfaces，DLDA，VDLDA and VD—
FLDA．The experimental results show that the VDFLDA method is the best of al1．
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Size: 222208 |
Author: 费富里 |
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Description: matlab线性判别分析函数，首先需要用PCA进行数据压缩，然后提前特征变量，进行判别分析-Matlab for LDA
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Size: 1024 |
Author: luo |
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Description: 收集的最全的人脸识别代码 有小波分析，有PCA，有LDA，有特征脸方法实现人脸识别-The most comprehensive collection of face recognition code is wavelet analysis, a PCA, a LDA, there are ways to achieve face recognition feature
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Size: 4450304 |
Author: yangxiaying |
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Description: 用于文本分析和分类的pLSA(Probability Latent Semantic Analysis)的Matlab算法，含有测试数据及算法原理介绍。也可用于图像分析。相比原来的版本，增加了示例程序demo.m，以实现可视化效果，用户更容易使用和理解pLSA算法。-For text analysis and classification of pLSA (Probability Latent Semantic Analysis) of the Matlab algorithm with test data and algorithm theory description. Can also be used for image analysis. Compared to the original version, an increase of sample programs demo.m, to achieve the visual effect, the user can more easily use and understand the algorithm.
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Size: 302080 |
Author: Tang Ketan |
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Description:
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Size: 9216 |
Author: xw |
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Description: 这里面有三个：k-L人脸识别的代码（可以直接用，qq：285494355），以及2D-LDA人脸识别，以及一个图像分割的程序。-K-L and 2D-LDA face recognition ,it s useful and can be used directly.
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Size: 1544192 |
Author: cxianfa |
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Description: 对于特征维数降维的matlab工具箱，包括PCA LDA ＰＰＣＡ 等-Matlab Toolbox for Dimensionality Reduction (v0.7.1- June 2010)
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Size: 1029120 |
Author: 周健 |
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Description: 对随机选择的iris数据，用LDA进行特征提取，然后用K近邻分类器分类的完整程序-Feature extraction using LDA,and perform classification via KNN
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Size: 3072 |
Author: 苗晨 |
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Description: lda face recgnition...............matlab
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Size: 111616 |
Author: czyou |
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Description: LDA算法及matlab实现（有实例）对初学者有很大帮助-LDA algorithm and matlab implementation
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Size: 275456 |
Author: gxw |
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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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