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principal_components
- This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common techn
pca.Zip
- 主成分分析，load数据可运行，有注释，简单易懂。-Principal component analysis，loading the data can run program.
PCA
- 主成分分析相关文献、PPt理论讲解与实例-The principal component analysis of the relevant literature, PPt explanation and examples
PCAPSVM
- PCA+SVM用于人脸识别，，很好用，，有详细注释-PCA+SVM for face recognition, and useful, detailed notes
Amirouche-Final
- ppt to learn PCA face recognition
Variational-andPCA
- PCA和水平集的结合，实现图像分割，实在是很好的方法。-The combination of PCA and level set image segmentation, it is a good method.
pca1
- Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal component
2011_7_1_49_56
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00913592
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00941854
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
01262011
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
pxc3876788
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
20130225
- 基于PCA主成分分析算法的人脸识别，包括Matlab代码及原理的PPT -Face recognition algorithm based on PCA principal component analysis, including Matlab code and the principle of the PPT
s10-(2)
- you can implement PCA using this code and facedata. This code describes average face of data.
face-recognition-algorithm
- Face Recognition using PCA algorithm
K-PCA
- ＫＰＣＡ变换的matlab图像处理方向的一些matlab程序-The KPCA transform matlab image processing matlab program direction
PCAFex
- PCA feature extraction in handwritten digit recognition.
duojicaokong
- 51增强型舵机控制，PCA控制寄存器，PCA模块1的 捕获寄存器-51 Enhanced servo control, the PCA control register, PCA Module 1 capture register