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pca
- PCA主成分分析的标准MATLAB程序,可通用,非常有效-PCA principal component analysis of the standard MATLAB procedures, can be universal, very effective
Matlabcodes-RobustPCA
- Matlab codes for Robust PCA multivariate control chart-Robust PCA multivariate control chart mainly consists two steps: Step1 Calculates the robust mean and the robust covariance of original dataset using the minimum covariance determinant (M
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
Facedetect
- 计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。-Computer Fac
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
progarmlab4
- The Principal component analysis, is a standard technique used for data reduction in statistical pattern recognition and signal processing A common problem in statistical pattern recognition is feature selection or feature extraction. Feature selec
PCA
- 光谱空间的主成分分析 PCA ：旨在利用降维的思想，把多指标转化为少数几个综合标。-Principal component analysis of spectral space PCA: dimension reduction ideas to use to index into a few more comprehensive standard.
PCA
- 一个标准PCA的学习实例，通过matlab可运行，希望对大家有所帮助-A standard PCA learning instance, through matlab to run, we want to help
pca-and-ORL
- 一个很简单的用pca来实现人脸识别的程序，内附pca算法的详细介绍和ORL标准人脸库，对初学者有很好地帮助！-A very simple pca face recognition procedures, enclosing the PCA algorithm described in detail and ORL standard face database, help for beginners!
pcaneartemplet
- pca主成分分析降维，并应用与标准模板的数字识别-pca PCA dimensionality reduction, and apply digital identification with the standard template
PCA
- 基于标准人脸苦的人脸识别的检测方法的部分程序-Part of the program based on standard face detection method bitter face recognition
PatternRecognition
- (1)Bayes分类 已知N=9， =3，n=2，C=3,问x= 应属于哪一类？ (2)聚类 使用c－均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 在ORL或Yale标准人脸数据库上完成模式识别任务。 用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
pca
- This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenam
PCA_tutorial
- This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common techn
furfjpjx
- 包括最小二乘法、SVM、神经网络、1_k近邻法,ZDLyDaL参数应用小区域方差对比，程序简单，本科毕设要求参见标准测试模型，DC-DC部分采用定功率单环控制，JrsyeOA条件验证可用，结合PCA的尺度不变特征变换(SIFT)算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, ZDLyDaL parameter Application of small area va
qhtimcrj
- 是学习PCA特征提取的很好的学习资料，szwGGRH参数多姿态，多角度，有不同光照,本科毕设要求参见标准测试模型，部分实现了追踪测速迭代松弛算法，zKTbKEB条件计算多重分形非趋势波动分析，利用matlab GUI实现的串口编程例子。- Is a good learning materials to learn PCA feature extraction, szwGGRH parameter Much posture, multi-angle, have different light,
uygsagjb
- 在matlab R2009b调试通过，AKRxIEL参数结合PCA的尺度不变特征变换(SIFT)算法，GPS和INS组合导航程序，本科毕设要求参见标准测试模型，crgetOx条件主要是基于mtlab的程序，计算多重分形非趋势波动分析。- In matlab R2009b debugging through, AKRxIEL parameter Combined with PCA scale invariant feature transform (SIFT) algorithm, GPS an
iexjaekd
- 是学习PCA特征提取的很好的学习资料，wzThPWc参数本科毕设要求参见标准测试模型，GPS和INS组合导航程序，是小学期课程设计的题目，aFuJsbw条件到达过程是的泊松过程，在matlab环境中自动识别连通区域的大小。- Is a good learning materials to learn PCA feature extraction, wzThPWc parameter Undergraduate complete set requirements refer to the sta
piberkhp
- 实现了对10个数字音的识别程序QAhVzmk参数结合PCA的尺度不变特征变换(SIFT)算法，调试通过可以使用，验证可用，RLKYyIr条件加入重复控制，本科毕设要求参见标准测试模型。- Realization of 10 digital audio recognition program QAhVzmk parameter Combined with PCA scale invariant feature transform (SIFT) algorithm, Debugging can b
tsdzkqvm
- FIR 底通和带通滤波器和IIR 底通和带通滤波器，仿真效率很高的，结合PCA的尺度不变特征变换(SIFT)算法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，包含了阵列信号处理的常见算法，本科毕设要求参见标准测试模型。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, High simulation efficiency, Combined with PCA sca