搜索资源列表
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 Support Vectors (SVDA), is in
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性。-”Small sample size”problem
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—dimensional feature representat
LDA
- 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
renlianshibie
- 基于LDA的人脸识别源代码,可以很方便的实现人脸识别-LDA-based face recognition source code, can easily realize face recognition
PRproject_lda
- 线性判别分析(LDA,全称Fisher Linear Discriminant Analysis)算法的C#实现源码,根据stprtool box for matlab中的LDA.m编写。用到MathNet库做相关的矩阵运算,使用zedgraph控制绘图。有简单的测试数据。- C# source code of linear discriminant analysis (LDA, full name of the Fisher Linear Discriminant Analysis) algo
Complete-identification-including-skin-and-the-act
- 本文的目的是提供一个我开发的SSE优化的,C++库,用于人脸检测,你可以马上把它用于你的视频监控系统中。涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程,还有一下其它的人脸检测的背景知识-The purpose of this paper is to provide an I developed SSE optimized, C++ library, used for face d
lda-0.1-matlab
- lda是一个集合概率模型,主要用于处理离散的数据集合,目前主要用在数据挖掘(dm)中的text mining和自然语言处理中,主要是用来降低维度的-lda is a set of probability models, mainly for dealing with discrete data sets, the key used in data mining (dm) in the text mining and natural language processing, is mainly u
hlda-c
- This code implements hierarchical LDA with a fixed depth tree and a stick breaking prior on the depth weights. An infinite-depth tree can be approximated by setting the depth to be very high. This code requires that you have installed the GSL p
regularized-lda
- 正则化LDA,最新!对于图像降维与图像识别的研究有很重要的研究意义-Regularized LDA, the latest! Dimension reduction for images and image recognition of a very important research significance
LDAFaceRecog
- 基于线性判别的人脸识别,LDA 方法区别于PCA-Face recognition based on linear discriminant, LDA method is different from PCA
PCALDA
- PCA和fisher人脸识别代码,有详细注释 能直接用-two algorithms about pca and LDA,it s very simple and useful
veryusefulfacerecognition
- 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.
drtoolbox
- 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)
LDA_KNN
- 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