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kpcaprogram
- 核主元分析程序,本人毕业设计程序,用于降维,监测Te过程故障,误诊断率低。-KPCA program, I graduated from the design process for dimension reduction, monitoring Te process failure, error diagnosis rate is low.
kpca
- 图像压缩的功能,提取图像信息以及最后的图像增强-image enhancement
kpca1
- kpca核主成分分析用于故障诊断与辨识中,具有很强的应用价值-kpca kernel principal component analysis for fault diagnosis and identification, has a strong value
KPCA
- 核主成分分析方法,是主成分分析的一种改进算法,是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
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
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.
KPCA-0
- matlab 关于KPCA的源码 希望对你有所帮助-KPCA
KPCA2_gsh
- KPCA的程序,用于人脸识别,在ORL人脸库上实验,效果不错!-code for face recognition based KPCA on ORL face database,the performance is nice!
kpca
- kernel based principal componenet analysis
learning-with-kernels
- 核学习 这是介绍核方法非常经典的书籍。里面包括各种核方法:kpca,kfda以及贝叶斯核方法-learning with kernels, this book is a classical book about kernel。 really worth of reading。
KPCA
- 在模式识别中,经常用到的一种提取特征的方法——主成分分析法-In pattern recognition, a frequently used feature extraction method- principal component analysis
kpca1
- KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序,可实现调用。对于初学者或许有帮助。-The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method
kpca
- 基于聚类分析的核主成分分析,简单实用,希望对大家有帮助。-Based on cluster analysis of kernel principal component analysis, simple and practical, we want to help.
kpca
- 图像识别中的降维算法,KPCA算法,主要使用了线性代数和矩阵的知识。-Image recognition of the descending dimension algorithm, KPCA algorithm, the main use of the knowledge of linear algebra and matrix
KPCA
- 这是CS理论用kpca作为稀疏基的完整程序,压箱底儿的啊,拿出来和大家分享-It s about CS and PCA ,and we use PCA as the sparisty transform ,it s a complete program so I hope it can help you
KPCA
- KPCA是一种基于核的主要成分分析,是一种由线性到非线性之间的桥梁。通过非线性函数把输入空间映射到高维空间,在特征空间中间型数据处理,引入核函数,把非线性变换后的特征空间内积运算转换为原始空间的核函数计算。 基本思想是通过某种隐士方法将输入空间映射到某个高维空间(特征空间),并在特征空间实现PCA。对该算法进行了详细的说明-KPCA is a kernel-based principal components analysis, is a bridge between the linear
KPCA-and-SVM-in-face-recognition
- KPCA和SVM在人脸识别中的应用-KPCA and SVM in face recognition
KPCA
- 模式识别理论中KPCA(Kernel based Principle Component Analysis)方法的推导-Kernel based Principle Component Analysis-pattern recognition
kpca
- kPCA程序,输入相应的参数后,可以直接运行,能应用到图像的特征提取与去噪等方面-kPCA program input parameters can be run directly, can be applied to image feature extraction and denoising
kpca算法从ECG中恢复EDR信号
- 利用kpca算法,从心电信号中提取呼吸信号