搜索资源列表
KPCAandPCA
- 含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application
KPCA.rar
- 快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少,Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many
kpca
- kpca程序代码，用于图形图像处理，很经典的算法程序-kpca code for the graphic image processing, it is the classic algorithm program
kpcacsdn
- kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca-kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca
kpca_toy
- kpca的算法实现源码，实现了一个数据降维方面的经典算法kpca-kpca the algorithm source code, to achieve a data dimensionality reduction classical algorithm kpca
KPCA-demo2
- 这是一个比较完整的KPCA算法，通过这个算法可以快速的找到主要的特征向量进行主成分分析。-This is a relatively complete KPCA algorithm, this algorithm can quickly find the main feature vector principal component analysis.
KPCA-FACE
- 采用KPCA方法的人脸识别算法，包含算法的matlab实现源码及相关测试、训练数据集-KPCA based face recognition algorithm, matlab source code of the algorithm implementation and related testing, training data set contained
simfeat
- 一个包含常用特征提取方法的matlab工具包。内含 PCA, CCA, mnf, pls 、 KPCA, KCCA, kmnf, kpls 等算法的实现源码-a matlab toolkit Containing some common feature extraction methods . Containing PCA, CCA, mnf, pls, KPCA, KCCA, kmnf, kpls algorithm implementation source
dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
simfeat
- 简单特征提取算法:PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA等-simple algorithm feature extraction ,for example: PCA,MNF,PLS,CCA,KPCA,KMNF,KPLS,KCCA
LBPpPCAp2CKPCAp2BSVM
- 人脸识别系统采用了LBP PCA 2CKPCA 2BSVM算法实现的，效率高。-Face Recognition System using LBP PCA 2B KPCA 2B SVM algorithm, and high efficiency.
KPCA
- 核主成分分析KPCA算法，经过核变换将样本映射到线性可分的高维空间，再进行PCA降维。包括训练、测试、识别整个过程-KPCA kernel principal component analysis algorithm through nuclear transformation samples are mapped to linearly separable high-dimensional space, then PCA dimensionality reduction. Including
KPCA
- 人脸识别的kpca算法，在pca算法的基础上进行了改进，主要是针对yale数据库，可以在其他数据库上使用-The kpca algorithm about face recogniton,it make an improvement with the pca algorithm,the base of the experiment is yale,but can be used on other face
kPCA
- 实现kPCA算法，用于数据降维图像处理等多领域。本程序包可选用多种核函数，且可以直接增添新的数据点，方便快捷。(KPCA algorithm, for data reduction, image processing and many other fields. This package can use a variety of kernel functions, and can directly add new data points, convenient and quick.)