搜索资源列表
fs-kfda
- Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation. FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fi
fs-kfda
- Feature scaling for kernel Fisher discriminant analysis using leave-one-out cross validation. FS-KFDA is a package for implementing feature scaling for kernel fisher discriminant analysis.-Feature scaling for kernel Fi
KFDA
- 此实验使用核Fisher鉴别分析(KFDA)方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人,每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face d
KPCA
- 人脸识别中KPCA算法,调试成功。大家可以下载-KPCA face recognition algorithms, debugging success.
blf-kfda
- 芝加哥大学的学长编的Kfda 非常好用 非常好用-University of Chicago students are very useful for the very useful Kfda
kda
- kda程序 用于matlab环境下不同核函数分类问题-kda program for matlab environment classification of the different kernel function
20100528KFDA
- 完整的核主元分析法程序,包含训练识别功能,希望有所帮助。-Complete nuclear principal component analysis procedures, including training in recognition, hope that helps
KFDA
- 核Fisher鉴别分析方法(KFDA)。KFDA方法的基本思想是首先将原始训练样本通过一个非线性映射 映射到某一高维(可能是无限维)特征空间F中,然后在F中执行Fisher鉴别分析。-Nuclear Fisher discriminant analysis method (KFDA). The basic idea of KFDA method is the first original training data by
gabor1
- 图像处理:gabor小波变换程序,用于对图像进行处理,在国外网站下的,已调成功,非常好的一个程序。-Image Processing: KFDA procedures for facial feature extraction, a procedure useful
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。
KFDA-face-recognition-method
- 一种一致最优的KFDA人脸识别方法,在Yale Face Database人脸数据库的试验结果证实了该方法的有效性。 -One of the most optimal KFDA face recognition method
fs-kfdaP1.0
- 基于Fisher线性分析的分类器以及基于核fisher(KFDA)的非线性分类器-Fisher KFDA
KFDA
- KFDA:核fisher用于分线性数据的降维。对数据进行特征提取。-KFDA: kernel fisher for sub-linear data dimensionality reduction. Data for feature extraction.
Kernel-Fisherfaces
- 人脸识别经典文献,介绍特征脸的核方法,核判别分析(KFDA)-Face classic literature, describes the characteristics of the face method, kernel discriminant analysis (KFDA)
TEP-KFDA
- 自编的matlab KFDA程序,核费舍尔判别分析。用于TE过程的故障分类,其中包含正常数据以及故障9和故障11。包含了如何进行核训练,故障的分类等。-Directed the matlab KFDA program, nuclear Fisher discriminant analysis. TE for fault classification process, which includes normal and fault dat
KFDA
- 采用核费舍尔鉴别准则做的静态背景的运动目标分类-Fisher discriminant make use of nuclear static background moving target classification
KLFDA
- matlab论坛里找到的使用自己的数据进行实验,可用。KFDA里就是使用例程。里面是有5类数据。通过高斯核进行LDA分类。-by using the FDA with Gaussian kernel,to classify five different patterns。
KFDA
- 研究基于步态的身份识别技术,并在步态特征提取和身份识 别等方面做了一些简单的尝试和探索。本文提出了一种基于核函数的Fisher判别分析(KFDA)进行步态识别.-In training process,we use kernel-based Fisher Discrimination Analysis(KFDA) method to train the input sample vectors.The method has been
KFDA
- 学姐做地理学研究时用的核Fisher判别分析的代码-Sister doing geography research time by the kernel Fisher discriminant analysis codes
核Fisher鉴别分析方法(KFDA)
- 基于核函数的Fisher分类判别,用于比同种类的分类。(Fisher classification based on kernel function)