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 toolb
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-Support Vector Machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN) source code
pca-svm
- 本程序用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列-err
Yale_PCASVM
- 在Yale 人脸库上运用PCA＋SVM的方法实现了人脸检测，并统计识别率-In the Yale face database using PCA SVM method achieved a face detection and recognition rate statistics
1087
- pca+svm源代码（matlab） matlab代码，pca进行特征提取，svm进行分类-pca+ svm source code (matlab) matlab code, pca for feature extraction, svm classification
PCA
- 对输入的高维特征向量进行pca降维后输出低维的特征向量-PCA dimensionality reduction
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
pca-svm
- 使用pca和svm方法对表情进行分类，有较高的识别准确率-The use of pca and expression svm classification methods, which have a higher recognition accuracy
pca-svm
- pca的matlab实现,very good-achievement of pca with matlab
pca(ica)svm
- 基 于 pca(ica)-svm 实 现 故 障 诊 断 -PCA_test.......
PCA
- Principal component analysis,for study about classification data,develop for svm , lvq etc-Principal component analysis,for study about classification data,develop for svm , lvq etc
mathpro
- pca+ svm source code (matlab) matlab code, pca for feature extraction, svm classification
PCA-SVM
- 人脸识别程序 程序源代码可见 识别精度高PCA-SVM-Face Recognition program PCA-SVM
PCA-SVM
- 在PYTHON里面，采用LIBSVM，实现对TE数据的多类故障的分类。-In PYTHON inside, using LIBSVM, TE data to realize the classification of many types of failures.
pca-svm
- 基于pca的人脸识别程序，人脸库需要自己下载，供参考-Pca-based face recognition program needs to download face database, for reference
PCA-SVM-face-recognition
- 用PCA 和 SVM 做的人脸识别程序，与大家分享！-To do with PCA and SVM face recognition program, to share with you!
PCA-SVM-master
- PCA/SVM算法实现图像分类，分类准确率可到达90%(Image classification by PCA/SVM algorithm)
PCA+SVM
- 用于人脸识别，包含了PCA及SVM算法，数据集采用的ORL数据库(face recognition(PCA+SVM))
PCA+SVM
- 先用PCA降维，在利用支持向量机进行分类，这个分类是二分类，所以PCA的降维降到两维即可分类。(Firstly, PCA dimensionality reduction is used to conduct classification with support vector machine. This classification is binary classification, so the dimensionality red
PCA+SVM的人脸识别
- 使用pca和svm的方法对人脸进行识别和检测，最终达到人脸识别的功能(Face recognition and detection using PCA and SVM methods, and finally achieve the function of face recognition)