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Description: Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification
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Size: 463872 |
Author: 刘子木 |
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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: This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test.LDA_Performance shows the recognition performance.
-This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test.LDA_Performance shows the recognition performance.
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Size: 1024 |
Author: rajat singh |
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Description: un program LDA written in matlab
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Size: 1024 |
Author: yin |
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Description: 线性决策分析，一个最经典的线性降维方法，也是最经典的最简单的监督学习算法-A CLASSICAL LINEAR DISCRIMINANT ANALYSIS
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Size: 3072 |
Author: lai_zhi_hui |
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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: 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: latent狄力克雷模型源代码，从作者出索要得来的，十分有价值-latent Dili Cray model source code, a request from the authors come very valuable
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Size: 28672 |
Author: king |
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Description: 实现2DLDA和LDA对人脸识别的比较，有论文和相应的程序，matlab编写-A matlab code of 2DLDA and LDA for face recognition
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Size: 288768 |
Author: xiaoxiran |
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Description: LDA实现人脸特征提取和识别，用matlab编写，和结果分析-A matlab code of LDA for face recognition
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Size: 2048 |
Author: xiaoxiran |
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Description: 数据挖掘的线性判别分析,用matlab编写-Data Mining linear discriminant analysis, using matlab write
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Size: 52224 |
Author: 王学林 |
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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: 模式识别中pca和lda的算法及两个分离器算法-Pattern recognition algorithms for pca and lda and two separate Algorithm
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Size: 4096 |
Author: 邹涛 |
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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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Description: face recognition using LDA
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Size: 1024 |
Author: yuweifeng |
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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: 2D Direct LDA for Efficient Face Recognition.pdf
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Size: 172032 |
Author: seven |
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Description: 关于文本处理图像标注的源码
值得收藏LDA代码-Image processing on the text annotation of the source code is worth collection LDA
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Size: 4446208 |
Author: zhangyun |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition．
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Size: 236544 |
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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