搜索资源列表
statistic_pattern_reconnition_toolbox
- 模式识别中统计模式识别的方法,包括贝叶斯,统计学习,LDA,PCA,SVM的经典方法,是不可多得的算法的toolbox-pattern recognition statistical pattern recognition methods, including Bayesian statistics study, LDA, PCA, SVM classical method, the algorithm is rare in toolbox
svm
- 支持向量机(SVM)、线形鉴别分析(LDA)、主分量分析(PCA)和人工神经元网络(ANN)源代码
1087
- pca+svm源代码(matlab) matlab代码,pca进行特征提取,svm进行分类
基于NSVM的SVM分类器
- 基于NSVM的两类SVM分类器,matlab7.1运行通过,main中做了PCA的特征提取、leave one out cross-valiation和5-fold cross-validation(重复10次的平均值)
matlab-PCA 基于matlab的PCA人脸识别完成程序
- 基于matlab的PCA人脸识别完成程序,包含特征值与特征向量的提取、训练样本以复制到matlab即可,成功运行,及最后的识别检验-A full implementation of ICA,PCA,LDA,SVM,in both orginal and incremental in model of real time learnign for face recognition
stprtool.rar
- 统计模式识别工具箱(Statistical Pattern Recognition Toolbox)包含: 1,Analysis of linear discriminant function 2,Feature extraction: Linear Discriminant Analysis 3,Probability distribution estimation and clustering 4,Support Vector and other Kernel Machines,
PCA_SVM.rar
- 此方法采用经典的PCA对人脸图像进行特征提取,用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
PCAPSVM
- PCA+SVM,对图像进行降维分类,并在yale库上测试取得比较好的效果-PCA+ SVM, dimensionality reduction of image classification, and yale library to achieve better test results
prtools3.1.7.rar
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,ICA,PCA,NN等等模式识别算法.,Pattern Recognition Toolbox for MATLAB, more practical, including the SVM, ICA, PCA, NN pattern recognition algorithm and so on.
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
Face-Detection
- 完整的包括皮肤及动作识别的C++人脸检测源代码,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),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down m
code-PCA-SVM
- 这是一个包含PCA降维的matlab程序加上用svm分类的一个程序。-This is a PCA dimensionality reduction plus matlab program contains a program with svm classification.
PCA-SVM
- 基于PCA和SVM的人脸识别程序,matlab, ORL库-face recognition code Based on PCA and SVM , matlab, ORL face library
PCA-SVM
- 本程序使用MATLAAB R2014a 编写,基于PCA_SVM的人脸识别程序。程序包括主成份分析、SVM核函数,并附带了人脸库,使之能够直接调用人脸库图像进行人脸识别-The program uses MATLAAB R2014a written procedure based on recognition of PCA_SVM. Program includes principal component analysis, SVM kernel function, and comes face
PCA_gabor_svm
- Gabor小波变换和PCA降维在用SVM分类(Gabor wavelet transform and PCA dimension reduction are classified in SVM)
PCA
- SVM(Support Vector Machine)指的是支持向量机,是常见的一种判别方法。在机器学习领域,是一个有监督的学习模型,通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to support vector machines, which is a common discriminant method. In the field of machine learning, it is a supervised learni
face-SVM
- 用PCA和SVM实现人脸识别,是经典的人脸识别Python代码(Face recognition using PCA and SVM)
PCA-SVM
- 利用主成份分析 SVM 实现 人脸识别(Using principal component analysis SVM to realize face recognition)
pca
- 做降维处理,做分类,非常好的数据集合,可以用于一般的数据清晰(Decomposition is a very interesting great name and it is very very very good , so you will use it)
基于PCA的SVM分类
- 选择“BreastCancer”数据集,使用支持向量机(SVM)对其进行分类。作为对比,第一次对特征集直接进行支持向量机分类,第二次对特征集进行主成分分析法的特征提取后,再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the featur