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Linear discriminant analysis
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fisher模式识别线性判别分析,在信号处理中运用比较普遍-fisher linear discriminant analysis pattern recognition, signal processing used in the more common
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基于线性鉴别分析的人脸识别。本程序在ORL人脸库上进行了实验,检验LDA算法的识别率-Linear Discriminant Analysis for Face recognition.
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基于二维线性鉴别分析的人脸识别,在ORL人脸库进行了识别率的测试-Two-dimensional Linear Discriminant Analysis for Face Recognition.
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Fisher线性鉴别分析方法(FLDA)-Fisher linear discriminant analysis (FLDA)
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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 a nonlinear mapping m
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模式识别实验验程序
极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis
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偏最小二乘线性判别分析, 以及变量选择方法-partial least squares-linear discriminant analysis
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Handwriting Recognition using Kernel Discriminant Analysis.
Demonstration of handwritten digit recognition using Kernel Discriminant Analysis and the Optical Recognition of Handwritten Digits Data Set from the UCI Machine Learning Repository.
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:步态识别通过人体走路的姿势来识别人的身份。近年来,步态作为一种生物特征识别技术备受计算机视觉研究者的关注。对某个
人的一个步态序列利用动态 Viterbi 算法得到一个样本姿态序列,对其多个步态样本姿态序列的对应姿态取平均得到这个人的特征姿态序
列,对特征姿态采用主成分分析法和线性判别分析法处理特征空间,并用最近邻法进行识别。利用 CASIA 数据库对本文方法进行验证,
取得了较高的识别率,并对体形变化具有较强的鲁棒性-Human gait recognition is the p
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多重判别分析,根据输入样本和标签自动生成判别空间-Multiple discriminant analysis, and labeling of the input sample space automatically generated discriminant
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fisher线性鉴别分析 用matlab实现的源代码 对于ORL库德识别率达到96 以上-fisher Linesr discriminant analysis
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提出了一种新的基于图像分块重构和线性判别分析相融合的方法,主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差,运用线性判别分析求出两幅图像降维后的欧式距离,融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognitio
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linear discriminant analysis
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基于matlab的人脸识别程序,可以实现简单的人脸识别功能,算法基于LDA(linear discriminant analysis)-Matlab-based face recognition program, you can achieve a simple face recognition algorithm based on LDA (linear discriminant analysis)
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Performs linear discriminant analysis
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本人编写的模式识别中的bayes判别分析算法,识别效果不错-I write the pattern recognition algorithm bayes discriminant analysis to identify good results
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本人用MATLAB编写的线性判别分析程序,识别率很高-I use the MATLAB program written in linear discriminant analysis to identify the high rate of
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二维线性鉴别分析(2DPLA)算法的C++实现,可以用于实际工作和学习中-Two-dimensional linear discriminant analysis (2DPLA) C++, the algorithm can be used in practical work and learning
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Matlab source codes for the regularized linear discriminant analysis (R-LDA) *
* Author: Lu Juwei *
* Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto *
* Released in 01 November 2004-Matlab source codes for the regularized linear di
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