搜索资源列表
yunxing
- PCA+KNN人脸分类,对于给定样本,训练其中的一部分,在pca降维后,用knn分类-PCA+KNNFace classification
PCAPLDA
- 这是一个很好的人脸识别的程序,首先用PCA降维,然后用LDA方法进行分类,用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
PCA
- 这是关于pca的文件,说明实现pca的降维-This is the file on pca, achieve pca dimensionality reduction
PCA
- 主分量分析的源代码,附有简单的解释说明,主要对图像矩阵做降维处理,适用多幅图像的变化检测-Principal component analysis of the source code, a simple explanation, the main image matrix reducing dimension, suitable for image change detection
Face-recognition-method
- 基于PCA 和BP 神经网络的人脸识别方法是针对 PCA 方法中存在的高维数问题和它对未训 练过的样本识别率低的缺点而提出的。该方法在预处理的基础上,利用粗糙集对 PCA 降维处理后的人脸特征进行约简,提取其中分类能力强的特征,实现在识别精度不变的情况下,有效的去除冗余信息;然后将约简后的属性输入到神经网络进行规则提取,利用神经网络非线性映射和并行处理的特点,增强对人脸图像识别的泛化能力。实验证明,使用该方法在识别率上有一定的提高-Face recognition method based
pcaceshi
- 颜色特征HSV模型,用pca降维,已经测试成功-pca dimensionality reduction
Jonathan-Huangpca-pca-jiang-wei
- 人脸特征提取LDA特征,Jonathan Huang大师编的降维。-Facial feature extraction LDA dimensionality reduction of features, master series.
FaceRec
- 人脸识别系统 PCA降维, SVM 分类, 40*10人脸数据库 对机器视觉 智能识别有帮助 -face recognition
PCA
- 应用主成分分析的方法实现数据降维,主成分个数通过累积方差贡献率的方法来确定-The principal component analysis of data dimensionality reduction, the number of principal components to determine the cumulative variance contribution rate
Face-recognition-based-on-PCA
- 基于vc++6.0和opencv1.0的单样本人脸识别。用了PCA和2DPCA降维,效果不错。附带样本-Face recognition based on the vc++6.0, and opencv1.0 single sample. With the PCA and 2DPCA dimensionality reduction, good results. Comes with sample
pq_pcasvm
- 使用小波能量差提取信号,PCA降维,SVM对电能质量扰动分类。-Extract the signal using the wavelet energy difference between the PCA dimensionality reduction, SVM classification of power quality disturbances.
pca
- 主成分分析 pca函数代码,用于数据的降维、压缩、去噪、主成分分析等方面-principal component analysis
shiyuan
- 是一个基于opencv的人脸识别的程序。采用的是lda和pca降维的算法,来达到高精度的识别程序-Opencv face recognition program is based. Lda PCA dimensionality reduction algorithm to achieve high-precision recognition program
pca
- pca主成分分析法 自己编写的 用于数据降维 减少数据分析时的计算量和计算时间-Pca principal component analysis their writing for data dimension reduction reduce data analysis calculation and computing time
pca.
- 主成分分析程序实现数据降维,能用比较少的变量解释大部分资料中的变异的几个新变量-Several new variables principal component analysis procedures to achieve data dimensionality reduction, most of the information in the variation can be explained by the relatively few variables
Micro-expression-recognision
- 用于基于ORL人脸数据库和PCA降维的简易的微表情识别 -For ease of micro-expression recognition based on PCA
data-visualization-based-on-PCA
- 神经元信息处理 PCA 平行坐标 降维处理-Spike PCA a common technique for finding patterns in data of high dimension
PCA
- 快速PCA,对样本矩阵进行快速主成分分析,和降维,输出特征向量矩阵。-Rapid PCA, the sample matrix of fast principal component analysis , dimensional reduction
PCA
- PCA算法实现对多维数据进行降维,内涵exel数据可供检验-PCA algorithm to achieve dimensionality reduction of multidimensional data, connotation exel data available for inspection
wangwei
- 基于ORL人脸库的人脸识别,基于PCA降维、K邻域识别法;以及PCA降维,Fisher判别-Face recognition based on the ORL database, based on the PCA dimension K neighborhood identification method PCA dimension, Fisher discriminant