搜索资源列表
kpca.rar
- kpca 用于人脸识别等的matlab源码,KPCA for face recognition matlab source, etc.
kpca
- 使用核PcA来识别图片，图片为200张测试图片，200张训练图片，包含在在压缩文件中。-To identify the use of nuclear PcA picture, pictures, for 200 test images, 200 training images, is included in the compressed file.
KPCA
- kernel PCA
pcajiafisher
- pca+fisher是将核函数应用到人脸识别研究中去-pca+ fisher is the kernel function is applied to face recognition research go
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
pcakenelfunction
- pca分解的核函数，在pca分解中可以用到，特别是分解的矩阵维数比较高的情况下，通过svd分解获得pca基-pca decomposition of the kernel function, in the pca decomposition can be used, in particular the decomposition of the matrix of higher dimension, through the svd decomposition was pca-based
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
3DFaceRecognitionBasedon3DLBPandKernelDiscriminant
- 二维照片的人脸识别对光照、姿态和化妆等因素很敏感，故提出了一种将三维局部二值模式(3DLBP)和核享，1剐分析(KDA)相结合的三维人脸识剐方法．采用3DLBP描述人脸深度图像的特征，高斯核函数KDA 作为分类器，使用Chi平方统计改进高斯核函数、采用FRGC v2．0中2003春季采集的三维人脸库进行实验．实验结果表明，该 方法在每人2个训练样本时，识别率为91．8％，而PCA和3DLBP的识别率分别为60．4％和78．3％；当每人的训练样本数增至6个时，识别率为98．4％，而PCA和3D
facerecgnize
- 模式识别课程作业，pca和kpca，以及一个人脸可。其中kpca的核函数是多项式。-Pattern Recognition course assignments, pca and kpca, and a person can face. Where the kernel function is polynomial kpca.
face-recog-using-kernel-pca
- face recognition using PCA
KerPCA
- 高手写的Kernel PCA,对做模式识别的人非常有帮助。-It is helpful for people in pattern recognition.KPCA
kpcawv2
- Kernel PCA with wavelet face recognition
Kernel-PCA
- calculation algorithm for principle component analysis based kernel of any image database.
Two_D_KPCA
- 2维核PCA算法，应用于人脸识别等图形图像处理中。-2 dimensional kernel PCA algorithm, can be applied to graphics such as face recognition in image processing.
kpca_py
- python实现的PCA，即Python scr ipt for kernel PCA with and without CUDA,效率非常好-python implementation of the PCA, Python the scr ipt for kernel the PCA with and without CUDA, the efficiency is very good
NLKPCA
- 这是外国人实现的非线性主成份分析，可下载相应的文章，可用来降维！-Applies the kernel method to unsupervised algorithms as for instance Principal Component Analysis. This gives a principled and efficient approach to nonlinear PCA
Neural-Network
- This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel
kPCAand2DPCA
- 基于核PCA和二维PCA的人脸识别程序 ， matlab编写-face recognition procedures Based on Kernel PCA and PCA-dimensional , matlab
PCA-SVM
- 本程序使用MATLAAB R2014a 编写，基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数，并附带了人脸库，使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face