搜索资源列表
PCA
- 人脸识别：pca特征提取后，用神经网络进行分类
对UCI数据集之一进行PCA特征抽取实验
- 对UCI数据集之一进行PCA特征抽取实验,给出在二维PCA特征空间的数据散点图。,UCI data sets on one of PCA feature extraction experiments are given in the two-dimensional PCA feature space of the data scatter.
KPCA.rar
- 快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少,Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many
PCA.rar
- 用主成分分析法提取人脸图像特征的程序，算法理论依据是K-L变换,Principal Component Analysis with face image feature extraction process
PCA
- PCA,主成分分析，可应用于矩阵降维，人脸特征提取及人脸识别。-PCA, principal component analysis, can be applied to matrix reduction, facial feature extraction and face recognition.
pca
- 采用C++仿真实现利用PCA算法进行人脸特征提取-Simulation using C++ using PCA algorithm for face feature extraction
pca
- 基于matlab的二维图像PCA特征提取-PCA feature extraction from image by matlab
PCA
- matlab环境下的 PCA人脸识别方法，连续输入图像后，主成分分析，特征提取，形成特征脸训练测试，得出精度-face recognition
pcaandica
- 这是一个人脸识别的程序，先对图像预处理，然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction.
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
PCA
- 主分量分析,用于高维数据降维或提取目标特征。程序精简，效率高. -Principal Component Analysis is used to make data dimensionality reduction or extract target characteristics。
pca
- PCA主成分分析，用于人脸识别，特征提取等-PCA principal component analysis for face recognition, feature extraction, etc.
PCA
- 关于主成份分析的vc++源码，注释详细，以KL变换为基础，使特征将维。-Principal component analysis on the vc++ Source, comments, detail, based on KL transform, so that will be characterized by Victoria.
PCA
- PCA主成分分析用于人脸识别，提取特征值特征向量。有ORL人脸库。-PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.
BasedonprincipalcomponentanalysisoftheFaceRecognit
- 在特征提取阶段，研究了PCA, 2DPCA, (2D) 2PCA, DiagPCA, DiagPCA-F-2DPCA等多 种方法。不同于基于图象向量的PCA特征提取，由于2DPCA, (2D) ZPCA, DiagPCA和 DiagPCA-I-2DPCA的特征提取都直接基于图象矩阵，计算量小，所以特征的提取速度明 显高于PCA方法。-In the feature extraction stage, the study of the PCA, 2DPCA, (2D) 2PCA,
PCA
- 主成分分析法能较好地实现图像融合，特别是空间特征保持非常好，但光谱特征的保持性要差一些。-Principal Component Analysis to achieve a better image fusion, in particular, to maintain a very good spatial characteristics, but to maintain the spectral characteristics of some worse.
PCA
- pca特征提取子程序，毕设用的，算法优化非常好，几乎没有循环，相当节省时间，堪称经典，运行绝对正确-pca feature extraction subroutine, used to complete set up, very good algorithm, almost no circulation, saving considerable time, classic, run absolutely right! !
PCAEigenfaces
- PCA特征脸训练和重建程序 可以直接运行 很好用-PCA Eigenfaces training and rehabilitation programs can be directly used to run fine
pca
- pca 特征提取的源代码，对人脸识别很有帮助，-pca feature extraction of the source code, useful for face recognition,
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