搜索资源列表
pca+lda
- 模式识别PCA+LDA的C++源代码,用于图像的主分量分析-pattern recognition PCA LDA C source code for the image of Principal Component Analysis
LDAandPCA
- 站长!这是使用LDA和PCA模式识别方法对人脸特征进行提取计算的Matlab程序框架,比较好!-head! This is the LDA and the use of pattern recognition methods on PCA Facial Feature Extraction for the Matlab program, good!
pca_lda
- 这里面包含两个文件,可以实现主成分分析(PCA)算法和线性判别分析(LDA)算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
RunFaceRecog_vV
- 基于PCA和LDA的人脸识别。% Main function that reads in files, applies pre-processing, calls face % recognition algorithm, and then plots resulting accuracy.
LDA
- 使用matlab实现的LDA(线性判别分析)分类器,以及PCA的实现-Implemented using matlab LDA (linear discriminant analysis) classifier, and the implementation of PCA
PCALDA
- PCA+LDA经典人脸识别算法,先用PCA降维,再用LCA降维-PCA+ LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
stprtool15aug08
- 捷克理工大学Hlavac教授和Franc博士提供的统计模式识别Matlab工具箱的最新版本V2.09,在原有版本基础上进行了一些修改和完善。它包括现有模式识别的大部分方法,比如SVM,PCA,LDA等。我采用其中的SVM方法进行了人体下肢假肢SEMG信号的分类,效果不错。希望能对大家有帮助。-Statistical Pattern Recognition Toolbox for Matlab (C) 1999-2008, Version 2.09. It includs a number of
stprtool15aug08
- 统计模式识别算法包,包括线性分类算法,SVM,PCA,LDA,EM,k-means分类等多种常用的模式识别算法。-Statistical pattern recognition algorithm package, including a linear classification algorithm, SVM, PCA, LDA, EM, k-means classification and many other commonly used pattern recognition algori
featureExtraction
- 该程序包实现了模式识别中的两个特征提取算法,主成分分析PCA和线性判别分析LDA。采用C++语言编写,开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, dev
FaceEvaluator
- A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition.
facedetection
- PCA、LDA人脸检测,压缩包里实现了PCA、LDA、最小距离分类器,人脸检测!-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
FisherFaces
- FisherFace, an algorithm based on PCA and LDA
huffman_program
- 涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),-Techniques involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN),
PCALDA
- pca+lda+bp神经网络的人脸识别 有GUI实现 在MATLAB8.0运行有用 毕业设计用-GUI of the face recognition of pca+lda+bp neural network to achieve useful for graduation designed to run in MATLAB8.0
LPP
- 很好的降维算法解析,主要讲述了LPP、PCA、LDA算法,希望对大家有帮助-Dimensionality reduction algorithm analysis focuses on the LPP, PCA, LDA algorithm, we hope to help
FisherFace
- Fisherface方法的实现是在PCA数据重构的基础上完成的,首先利用PCA将高维数据投影到低维特征脸子空间,然后再在这个低维特征脸子空间上用LDA特征提取方法得到Fisherface。程序中使用参数寻优的方法来寻找最佳投影维数,以达到比较理想的识别效果。-The Fisherface method implemented in the PCA data reconstruction based on the completion of the first use of PCA project
drtoolbox
- 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
dimension-reduction
- pca lda kpca klda lpp matlab 特征降为方法,对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.
LDAaaPCA
- PCA,LDA 的文档描述,以及KPCA,LDA 的matlab 代码-PCA,LDA, kPCA
PhD
- 非常有用的人脸识别工具包,包含了各种PCA,LDA, KPCA, KFA及其变种。在Matlab环境下可以直接运行。-The PhD (Pretty helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scr ipts intended to help researchers working in the field of face recognit
