搜索资源列表
PCA+LDAVC
- 结合PCA+LDA的图像识别算法VC封装类,可以运行,效果还可以-combination of image recognition algorithm VC Packaging categories, can run, the effect could also
PCA+LDA
- PCA(主成分分析法)、LDA(线性判别法) 两种方法是主要的线性降维法,有很好的效果,希望对大家能够有用!
PCA+LDA
- 用PCA和LDA进行降维人脸识别程序
LDA代码
- 用PCA降维的LDA代码 用Matlab写的先用PCA降维的LDA代码。
LDAandPCA
- 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!
ImgProc1
- 基于PCA IDA LDA KPCA的人脸识别] -IDA LDA KPCA Face Recognition]
pca_lda
- 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 CMatr
rtejfgds
- 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
lda
- 这是一个lda的程序,在别处找到的,觉得还行,想和大家分享分享。识别率确实不错,我实在orcl人脸库上进行的,在其他的人脸库里还未来得及试验,相信也会很不错的。大家多多支持啊。-lda This is a procedure in finding elsewhere, I felt that trip, and would like to share with you to share. Recognition rate is not
MATLAB_Codes_for_Dimensionality_Reduction
- 数据降维工具箱,包括一些典型算法,例如pca,lle,mds,lda等。-Data dimensionality reduction tool kit, including some typical algorithms, such as the pca, lle, mds, lda, etc..
svm
- 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-Support Vector Machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN) source code
malic-0.0.9.1.tar
- Malic是一个完整的Linux下的人脸识别系统源代码,它是SourceForge上的一个开源项目,使用Malib实现实时处理,CSU Face Identification Evaluation System进行人脸识别。算法包括:主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图
PCA
- PCA算法Matlab实例,有详细的中文注释-PCA algorithm Matlab examples detailed Chinese Notes
RunFaceRecog_vV
- 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.-Based on PCA and LDA for face recognition. Main function that reads in
fisherplot
- 运用fisher方法进行pca降维和Lda特征提取的人耳识别。-Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.
facedetector
- 人脸检测源代码. The souce 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
pca-lda
- PCA、LDA特征提取源代码以及相应使用数据-PCA, LDA source code and data
PCA
- PCA LDA实现,根据累积贡献率确定主成分个数(PCA LDA MATLAB The number of principal components is determined according to the cumulative contribution rate)
PCA+LDA
- pca+lda人脸识别,可在MATLAB上运行(Based on pca+ Ldaface recognition procedures can be directly run matlab)
pca-lda
- 主成分分析法和线性判别分析常用来对原始数据进行简单的数学分析(Principal component analysis and linear discriminant analysis are usually used for simple mathematical analysis of raw data.)