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 Fisher discrim inant analysis us
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
Face_Recognition.zip
- Face Recognition, Face Detection, Lausanne Protocol, 3D Face Reconstruction, Principal Component Analysis, Fisher Linear Discriminant Analysis, Locality Preserving Projections, Kernel Fisher Discriminant Analysis,Face Recognition, Face Detection, L
ar_dct_kda
- 在AR人脸库上进行DCT变换，使用DCT变换后的图像进行 kernel fisher discriminant analysis,其中kernel 函数可以自己选择-In the AR face database on the DCT transform, using the DCT transformed image kernel fisher discriminant analysis, which can choose the kernel function
Kernel-introduction
- 核方法的基本讲解，PPT格式，包括Fisher核的相关介绍及实例说明-Kernel introduction .ppt,include Fisher Kernel introduction and example
KLFDA
- 这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
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
kfd2
- 基于核的fisher判别分析，中文文献，从各个核心期刊中收集，希望对大家有用-Kernel-based fisher discriminant analysis, English literature, from all the core collection of journals, U.S. hope to be useful
KLFDA
- 基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。-Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
Gabor-kernel-Fisher-analysis-for-face-recognition
- Paper on non linear discriminant analysis.
finger-print
- reconition finger print by using kernel space, base kernel fisher discriminant
7-djvu-9812381511
- This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpret
fisher-and-Fuzzy-similarity
- 通过matlab语言实现Fisher分类和基于核Fisher分类的设计与实现研究和模糊相似关系直接用于分类，实现结果良好，可供大家使用，互相学习。-Fisher classifier matlab language and kernel Fisher classification-based design and realization of fuzzy similarity relations for the classification, to achieve good results fo
Kerne-Fisher-Progection
- Kernel Fisher Discriminants
fisher
- 实现基于核函数的Fisher分类器的算法-Fisher classification algorithm based on kernel function
fisher
- fisher Linear Discrimination-The kernel of the Fisher Linear Discrimination is to find a projected direction. In this way, we can transfer a multi-dimensional problem to an uni-dimensional one.
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
- 核函数的实现，核分析 和核主成份分析，核Fisher判别 的matlab实现-Nuclear function, nuclear analysis and kernel principal component analysis, kernel Fisher matlab implementation
fisher.cpp
- 核Fisher分类器，，，，，，，，，，，(Kernel Fisher Classifier)
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)