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ImprovedPCAFaceRecognitionAlgorithm
- 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influen
PCA
- 用Matlab实现主成分分析（PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
PCA
- 基于主成分分析的人脸识别，本程序给出了N次重复实验后各维数的识别率-Principal Component Analysis(PCA)for face recognition
2DPCA
- 基于二维主成分分析的人脸识别,本程序在ORL人脸库上进行了测试-Two-dimensional Principal Component Analysis for Face Recogntion.
sort
- 用于神经元峰电位主成分分析提取特征系统聚类进行分类-use for classfy
pca
- 该代码为PCA主成分分析，可用于特征选择，选取贡献最大的前三个主成分-The code for the PCA principal component analysis, can be used for feature selection, select the largest contribution to the first three principal components
matlab-PCA
- 本程序提供主成分分析算法，该算法有四个小程序组成，简单，实用。-This program provides the main element analysis of the algorithm, the algorithms are four small and simple, practical.
aaa
- 关于遥感图像分类方面的程序源代码 有主成分分析，神经网络等方法-Remote sensing image classification on the program source code is the principal component analysis, neural network, the
imagefeatureextractionmethod
- 桌红外图像特征提取方法研究。基于模糊核主成分分析的高光谱遥感影像特征提取研究。-Table infrared image feature extraction method.
Matlab--lshp
- 一个小的matlab编程来实现主成分分析-A small matlab program to achieve the principal component analysis
jiyu-PCA-de-ren-lian-shi-bie-Matlab
- 基于主成分分析实现对特征脸的人脸识别，训练，输出识别率等。-Based on principal component analysis to achieve the characteristics of face recognition, training, recognition rate of the output.
Principal-component-analysis-matlab
- 主成分分析.mht：介绍主成分分析的文章 edgepick.m：本程序的目的是实现边缘检测 drawprim.m：找到最大主分量所在的位置，从而在原图象中绘出 practical.m：一个主分量的程序，边缘检测和主分量提取 prin.m：该程序是用princomp函数来提取矩阵的主成分-Principal component analysis. Mht: the article describes the principal component analysis edgepick
face-recognition
- pca又称主成分分析，主要用来提取图像的主要成分，作为特征提取一个重要算法，将其用于人脸识别-pca, also known as principal component analysis, mainly used to extract the main component of the image, as a key feature extraction algorithm, be used in face recognition
Matlab-Project
- 主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 -Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variable
Matlab
- 利用matlab进行主成分分析，得到各个相关系数等-Principal component analysis using matlab to get the various correlation coefficients, etc.
MATLAB
- 利用matlab来分析主成分，得出权重等一些参数-Use matlab to analyze the principal components, obtained some parameters such as weight
PCA
- 主成分分析方法通过建立两个主成分的二位图，对数值特异点的剔除，减少数据处理中无关项的干扰，-Free Source Code for Image segmentation and Extraction malic: A Realtime Face Recognition System Source Code Face Detection C++ Library with Skin and Motion Analysis Face Recognition
pca-matlab
- 主成分分析法，其本质是实现高纬到低维的分析，用matlab实现的代码-Principal component analysis, by its very nature is to achieve the high latitudes to low-dimensional analysis, implemented with the matlab code
hanban-paiduilun--renkouzengzhang
- 本人自己做的三篇数学建模论文 一个是基于主成分分析的人口增长预测 一个是基于排队论的高速公路收费口的设置 一个是关于航班的-I own the three papers of mathematical modeling is based on principal component analysis of a population forecast is based on queuing theory, a highway toll gate, setting one on the flight
MATLAB-PC
- matlab实现主成分分析，提取几个主成分，实现贡献计算。-matlab to achieve the principal component analysis