Search - c pca - CodeBus

[matlab] netlab

Description: 这是包含pca和ppca等诸多源程序的工具箱，希望大家喜欢。-This is the PCA and PPCA includes many source code of the toolbox, I hope everyone likes.
Platform: | Size: 485376 | Author: lyp | Hits:

[Documents] PCA-tutorial

Description: 主分量分析法的介绍-Principal component analysis method introduced
Platform: | Size: 91136 | Author: lijin | Hits:

[Algorithm] gauss

Description: 这是高斯列主元消去法的完整程序，可以求解线性方程组-This is the Gaussian elimination method PCA out a complete program, you can solve the linear equations
Platform: | Size: 3072 | Author: fanyilong | Hits:

[matlab] subspace

Description: 子空间分解matlab程序。采用PCA主成元分析方法。-Subspace Decomposition matlab procedures. Using PCA Principal Component Analysis.
Platform: | Size: 1024 | Author: shiyu | Hits:

[AI-NN-PR] PCA_fuzzy_c-means_method

Description: 首先对原始数据归一化然后进行PCA分析采用PCs作为特征，进行模糊聚类分析 fuzzy c-means method-First normalized the raw data and then proceed to PCA analysis using PCs as features, fuzzy clustering analysis for fuzzy c-means method
Platform: | Size: 1024 | Author: 王一 | Hits:

[Graph program] PCA_based-Face-Recognition-System

Description: 关于PCA算法的一些东东，下来看看，大家了知道了。-PCA algorithm on some Dongdong, down look, the U.S. knows.
Platform: | Size: 181248 | Author: 杨磊 | Hits:

[Special Effects] vcc++renlianianshibie

Description: 基于PCA差别分析的人脸识别,是用VC++6.0编写的,效果不错-PCA analysis based on differences in face recognition is the use of VC++ 6.0 prepared, good results
Platform: | Size: 209920 | Author: luo_hongbin | Hits:

[Multimedia Develop] facedetector

Description: 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/ICA/any dimensionality reduction/projection and final NN classification -Face detection source code. 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/ICA/any dimensionality reduction/projection and final NN classification
Platform: | Size: 366592 | Author: huangtyu | Hits:

[Special Effects] pcasift-0.91nd.tar

Description: PCA-SIFT实现图像的不变性特征提取,利用主元分析提取SIFT特征,提高了效率.-PCA-SIFT invariant image feature extraction, using principal component analysis extracted SIFT features, improved efficiency.
Platform: | Size: 680960 | Author: 路香群 | Hits:

[Graph Recognize] FisherFace

Description: 人脸识别的经典算法的完美结合，PAC与FISHER算法C++实现，首先通过PCA进行维数约简，然后通过FISHER进行最有利的方向投影。识别效率是所有监督学习的上限。-Face Recognition Algorithm for the perfect combination of classic, PAC and FISHER algorithm C++ Realize, first of all carried out through the PCA dimension reduction, and then through to the most favorable FISHER projection direction. Recognition efficiency is all supervised learning ceiling.
Platform: | Size: 758784 | Author: NEO | Hits:

[Graph Recognize] PCA

Description: Adaboost实现人脸检测，这个很好用，速度快，准确-Adaboost face detection to achieve this good use, fast, accurate
Platform: | Size: 45056 | Author: 胡源 | Hits:

[Algorithm] pca

Description: 主成分分析程序，可用于数据降维及特征提取。-Principal component analysis procedures, can be used for data dimensionality reduction and feature extraction.
Platform: | Size: 8192 | Author: 武锐 | Hits:

[Algorithm] C++arithmetic

Description: C++常用的数值算法例如：高斯-赛德尔迭代法、列主元高斯消去法、拉格郎日插值多项式等等…… 都是很不错的学习资料，希望能帮助到大家！-C++ Commonly used numerical algorithm such as: Gauss- Seidel iterative method, PCA out Gaussian elimination method, Lagrange interpolation polynomial and so on ... ... are very good learning materials, to help to everyone!
Platform: | Size: 8192 | Author: LuanS | Hits:

[AI-NN-PR] featureExtraction

Description: 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, development environment VS. Package also provides two test samples.
Platform: | Size: 46080 | Author: tangxiaojun | Hits:

[Graph Recognize] FaceDetection_Based_on_a_New_Nonlinear_Color_Space

Description: 提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区 YC C r b 域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度 ) ( 信息定位眼睛, 然后根据人脸特征的几形态边缘检测算子检测候选区域的边缘, 利用边缘方向 PCA PCAED ( ) 何形状信息定位其他特征鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用信息和几何特征信息检测人脸特征 PCAED 具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低等特点。- A novel approach for skin segmentation and facial feature extraction is proposed The proposed skin segmentation is a method for integrating the chrominance components of ″″ . ″″ r b r b nonlinear YC C color model The chrominance components of nonlinear YC C color space , are modeled using a subgaussian probability density function and then the face skin is seg . , mented based on this function In order to authenticate the face candidate regions firstly tex ture information in face candidate regions is segmented using mean and variance of luminance , . , information and then the eye is located by the PCA edge direction information Finally the , , others features such as nose and mouth also are detected using the geometrical shape infor . 2 , mation As all the above mentioned techniques are simple and efficient the skin segmentation . based on nonlinear color spacemethod has the invariability of lighting and pose In the experi , . ments themethod has been successfull
Platform: | Size: 458752 | Author: zz | Hits:

[Wavelet] yuanma

Description: 对于PCA ，LDA，BIC，EBGM都有很详细的代码。但是需要在LINUX下配置运行。不过代码较有参考价值。-For PCA, LDA, BIC, EBGM have a very detailed code. But the need to configure to run under LINUX. However, a more useful code.
Platform: | Size: 5902336 | Author: xiaobai | Hits:

[AI-NN-PR] stprtool15aug08

Description: 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 ways for paater classification, such as SVM, PCA, LDA, etc. I hope it is helpful for readers.
Platform: | Size: 5998592 | Author: Mountain | Hits:

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