搜索资源列表
stprtool15aug08
- 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, Versio
lda_orl
- 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 recognit
ULDA
- un program LDA written in matlab
LDA
- 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
SubspaceLearningCodes
- 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 learn
dimreduce
- 普通降维方法汇总,PCA,LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
lda
- 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
2DLDALDA
- 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
LDAface
- 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
LDA
- 数据挖掘的线性判别分析,用matlab编写-Data Mining linear discriminant analysis, using matlab write
pcalda
- 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
PCAandLDA
- 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
FisherFaces
- FisherFace, an algorithm based on PCA and LDA
PCA_face2
- face recognition using LDA
SVM
- 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
2D_Direct_LDA_for_Efficie_Face_Recognition
- 2D Direct LDA for Efficient Face Recognition.pdf
19854799LDA
- 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
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 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
AComparativeStudyonFaceRecognitionUsingLDA-BasedAl
- 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—d
PCALDA
- PCA+LDA经典人脸识别算法,先用PCA降维,再用LCA降维-PCA+ LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction