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
pattern_recognition_v6.1
- 完整的模式识别库，包括矩阵运算，各种模式识别算法，如K均值、SVM、RVM、NN、LDA等
facedetector
- 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA
边缘检测算法
- 该工具箱专为模式识别定制，主要是数字图像识别，比如特征提取、图像分类、PCA、LDA、ICA、DCT、RBF、RBE、GRNN、KNN、minimum distance、SVM等等
R-KDDA
- 核化的直接判别分析（KDLDA）代码，MATLAB写的。-nuclear direct discriminant analysis (KDLDA) code, written in MATLAB.
EE4208_FaceRecog_ZhaoJian_v1
- The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/an
face-recognition_fr
- la reconnaissance du visage est une technologie biométrique en vogue, elle est tré sutilisé dans les applications de contrô le d accées. dans la littérature , on trouve plusieurs méthodes globales, locales et hybride
FaceRecEvaluator
- 人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
Ssvmmraru
- 支持向量机(SVM)、线形鉴别分析(LDA)、主主分量分析(PCA)与人工神经元网络(ANN)源代码 -Source code for the support vector machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN)
Color-rendering.
- 本文的目的是提供一个我开发的SSE优化的，C++库，用于人脸检测，你可以马上把它用于你的视频监控系统中。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，还有一下其它的人脸检测的背景知识。-Face expression identification code, part of the realization of the
classification-using-LDAPSVM
- 利用LDA与SVM实现两类之间的分类程序-classification program between the two classes using LDA and SVM
A-complete-fuzzy-discriminant
- Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
A-Component-based-Framework
- Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
A-linear-discriminant
- Face recognition in a fuzzy method. Contains SVM, LDA, decision tree and so on, the effect is very good, worthy of reference.
nwfe_code
- NWFE:Nonparametric Weighted Feature Extraction for Classification，线性分类方法，类似于改进了了的LDA，使用中，结果有时候比SVM等好-classification, NWFE:Nonparametric Weighted Feature Extraction for Classification
stprtool
- 统计模式识别，包括PCA LDA SVM-Statistical pattern recognition, including the PCA LDA SVM