搜索资源列表
baseline,lda,pca,matlab code
- 包括baseline，lda，pca的matlab源代码
PCA MATLAB源码
- PCA用于人脸识别中降维。
包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码
- 包括常用的IHS,PCA 加权图像融合三种算法的Matlab源代码,Which are used in the IHS, PCA-weighted Image Fusion Algorithm three Matlab source code
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_LDA.rar
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
PCA
- 基于PCA的遥感图像融合，效果不错。可以作为遥感图像融合方面入门学习使用。-PCA-based remote sensing image fusion, good results. Integration of remote sensing images can be used as an introduction to use.
PCA和MDA进行人脸识别
- 模式识别课程中，PCA和MDA进行人脸识别，训练和测试,PCA AND MDA
m_PCA
- PCA降噪及显示降噪后图像源码，共4个m文件，不是p文件，方便查看。-The source code of PCA denoising, total 4 m files, not p file.
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
NLCPCA
- nonlinear pca的具体实现代码-nonlinear pca concrete realization of the code
Dimension-reduction--toolbox
- 该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
matlab-Face-Recognition-Detection
- MATLAB环境下编的人脸检测和识别算法，人脸识别部分采用的pca算法，另外包括一个人机界面，直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can b
盲信号的语音分离MATLAB程序
- 一个很好的语音分离程序，带有三个.wav格式的语音原文件，同时用ICA和PCA两种方法对混合信号进行分离.
kernel_pca
- Kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with
MATLAB
- 用MATLAB计算图像信息熵，图像为遥感融合图像tm与spot图像IHS、PCA融合-Calculation of Entropy
pca
- 基于matlab的二维图像PCA特征提取-PCA feature extraction from image by matlab
PCA-SIFT
- PCA-SIFT算法的实现，PCA-SIFT是对SIFT算法的改进，用PCA替代SIFT算法中的第四步，提高了效率，且准确率更高-PCA-SIFT algorithm implementation, PCA-SIFT SIFT algorithm is an improved SIFT algorithm with PCA instead of the fourth step, improve efficiency, and higher accuracy
2DPCA_Matlab_Codes_PAMI_2004
- 这里面的代码是2DPCA的。这篇文章发表在PAMI上,Two-Dimensional PCA: A New Approach to Appearance-Based Face Representation and Recognition.google搜索已经引用681次。这里的代码是原作者的。这个分类不太好，语音识别是最近的，这是模式识别里的经典算法。-matlab code of 2DPCA
pca
- PCA matlab程序，可以通过改解释率，确定主元个数-PCA matlab code
PCA2D
- 2D PCA IS METHOD USED FOR IRIS AND FACE RECOGNITION AN INTERSETING METHOD