搜索资源列表
2dpca
- 基于二维PCA对人脸进行识别，对图像有很好的降维作用，且识别率比pca好-PCA based on two-dimensional human face recognition, the image is very good landing peacekeeping role, and the recognition rate better than pca
PCA1
- pca算法，用于数据降维，注释非常详细清晰，-PCA algorithm, for data dimensionality reduction, clear and very detailed notes,
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhoug
PCA_LDA
- 《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 t
attfaces
- 机遇PCA的人脸识别，包括图像读取，PCA降维以及机遇简单贝叶斯分类-PCA Face Recognition opportunities, including the image read, PCA dimensionality reduction as well as the opportunity for easy Bayesian Classifier
pca
- pca主成分分析，matlab程序，用于图像特征提取，降维等 有中文注释-Principal component analysis
PCA
- PCA的简单小程序，对图像做去相关和降维-the simple program of PCA，used to a picture s decorrelation and dimensionality reduction
renlianshibie
- 利用PCA对人脸图像进行降维，然后训练神经网络分类器的Matlab程序-the Matlab in face recoginization using PCA algorithm
pca
- PCA降维方法,这是一个针对图像处理的PCA降维处理方法-The method of PCA,whic is used in the image processing.
PCA
- 对图像进行降维，用少量图像的主成分去描述整个图像以提高系统的效率。-Reduce the dimensions of the image, with a small amount of the principal component image to describe the whole image to improve the efficiency of the system.
pca
- 主成分分析程序,应用于图像特征提取，数据降维等方面 -the code of PCA
empca
- PCA特征降维，用于图像处理人脸识别等模式识别领域和数据挖掘两领域-PCA feature reduction, image processing for face recognition and other pattern recognition and data mining of two areas
pcapro
- 基于主成分分析的PCA算法，利用进行各类图像降维，达到精简计算过程的目的。-PCA based on principal component analysis algorithm for various images using dimensionality reduction to achieve the purpose of streamlining the calculation.
fsvmPpca-face-Recognition
- 首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is hig
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image p
PCA
- PCA用于图像降维，主要利用KL变换，将图像映射到一个高维空间-PCA for image dimensionality reduction, the main advantage of KL transform, the image is mapped to a high-dimensional space
PCA
- 采用INP数据（145*145*200），该数据有16个类别， PCA进行数据降维，然后对降维数据采用kNN分类（k=1）。(Using INP data (145*145*200), the data has 16 categories, PCA carries out data reduction, and then uses kNN classification for dimensionality reduction data
PCA
- 用matlab自带的PCA算法对图像进行降维(Dimensionality reduction for images)
pca
- 大数据降维方法，具体的处理了图像等，包括数据的冗余部分，利用PCA技术快速降维。(Large data dimensionality reduction method.Specifically dealing with images, including redundant parts of data, and using PCA technology to reduce dimensionality rapidly.)
基于PCA和SVM的人脸识别系统
- 先通过图像处理提取人脸的各个特征，然后对人脸通过PCA进行降维，然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)