搜索资源列表
PCA
- 用Matlab实现主成分分析（PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
PCADR
- 用于特征降维人脸识别等多元数据分析的主分量分析投影的Matlab代码实现。-For feature reduction and other multivariate data analysis, face recognition principal component analysis projection of the Matlab code implementation.
PCA
- 一个关于主成分分析的matlab演示，十分有用-A principal component analysis on matlab demo, very useful
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
Matlab(MPCA)
- Matlab实现多线性主成份分析(MPCA)-Matlab multi linear principal component analysis (MPCA)
som(Jal.You)
- SOM神经网络（自组织特征映射神经网络）是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数，其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接，这样每个输出层节点均对应于一个连接权矢量。 自组织特征映射的基本原理是，当某类模式输入时，其输出层某一节点得到最大刺激而获胜，获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作，获胜节点
PCA
- 基于主成分分析的人脸识别，本程序给出了N次重复实验后各维数的识别率-Principal Component Analysis(PCA)for face recognition
2DPCA
- 基于二维主成分分析的人脸识别,本程序在ORL人脸库上进行了测试-Two-dimensional Principal Component Analysis for Face Recogntion.
PCA
- Principal Component Analysis. Very important for pattern recognition(ie. optical character recognition) A great fundamental file for the beginner. Even those who doesn t know what is variance can start learning about OCR basics from this pdf.-Princip
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.
KPCA
- 核主成分分析方法，是主成分分析的一种改进算法，是一种非线性的特征提取方法。 -Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.
MultiwayPLS
- 一个很好的基于matlab的pls工具箱，可以进多线性数据的的主成分分析，偏最小二乘回归等。-A good toolbox based on matlab' s pls, can enter the data more linear principal component analysis, partial least squares regression.
MATLAB
- 根据)EF 特性中的对比度敏感度， 即空间频率特性曲线，对图像进行二维多级小波分解，由分解后的各小波分量，提取各频段相应的亮 度、清晰度和相关度指标；然后将这三个指标的几何平均与频段加权系数的内积做算术平均，以此作 为图像质量的综合评价指标-According to) EF characteristic of contrast sensitivity, that is spatial frequency characteristic curve, the image is two-d
Facehallucination
- Face Hallucination based on Independent Component
loadimseparatenpca
- Matlab code to load image, separate image component and determine PCA
rotate
- 数字图像处理的matlab代码，完成图像的旋转（30度），计算图像的YUB分量等。-Digital image processing matlab code of image rotation (30 degrees), calculated image YUB Component.
PCA_based_Face_Recognition_System
- This project uses PCA (Principal Component Analysis) to detect face from 2D images.
Face_and_Face_exsipression_Recognition
- One of Biometrics fields is face recognition & face expression recognition ... 1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
pca
- 该代码为PCA主成分分析，可用于特征选择，选取贡献最大的前三个主成分-The code for the PCA principal component analysis, can be used for feature selection, select the largest contribution to the first three principal components
ty51
- 通信原理中功率谱密度的仿真，仿真了不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度，并分析不同信号（不同占空比，等概非等概）所包含的频谱分量，有无直流分量和定时分量信息-Communication theory in the power spectral density of the simulation, the simulation of different duty cycles, such as almost, almost bipolar rectangular Non-r