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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
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Face Recognition Using Kernel Direct Discriminant Analysis Algorithms
and Matlab source codes for the kernel direct discriminant analysis (KDDA) -Face Recognition Using Kernel Direct Disc riminant Analysis Algorithms and Matlab sourc e codes for th
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Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
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Matlab source codes for the kernel direct discriminant analysis (KDDA),Author: Lu Juwei , Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto ,Released in 03 September 2003
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核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using
Kernel Direct Discriminant Anal
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the kernel direct discriminant analysis
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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
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不仅使用了kernel trick ，还是用了加权的最大边缘规则，获得较好的识别效果。-A new kernel-based learning algorithm, called kernel weighted maximum margin
discriminant analysis (KWMMDA), is presented in this paper. Different from the previous
discriminant analysis algorithms base
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Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques:
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Lin
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Fisher discriminant analysis with kernel-This function implements Fisher discriminant analysis with kernel, which can be applied on very high dimensional space.
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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
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A probabilistic neural network (PNN) is a feedforward neural network, which was derived the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis-A probabilistic neural network (PNN) is a feedforward neural network,
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kernel discriminant analysis example
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KFDA是FDA进行首先投影到核空间，然后进行判别分析，核技巧提高了算法的可行性。-KFDA said the FDA is first projection in kernel space, and then the discriminant analysis, nuclear techniques to improve the feasibility of the algorithm.
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KDA: Kernel Discriminant Analysis
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Feature scaling for kernel Fisher discriminant analysis usin
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Feature scaling for kernel Fisher discriminant analysis usin
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本文件提供了核线性判别分析（KLDA）的将维算法(This program is the kernel linear discriminant analysis)
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