Description: 模式识别PCA(principle component analysis)源码.matlab 格式。PCA为经典而且经常使用的算法。-pattern recognition PCA (principle component analysis) source. Matlab format. PCA to the classic and often use the algorithm. Platform: |
Size: 1495 |
Author:吴东 |
Hits:
Description: 模式识别PCA(principle component analysis)源码.matlab 格式。PCA为经典而且经常使用的算法。-pattern recognition PCA (principle component analysis) source. Matlab format. PCA to the classic and often use the algorithm. Platform: |
Size: 1024 |
Author:吴东 |
Hits:
Description: 基于独立分量分析进行盲信号分离的原理简介和例程-based on independent component analysis for the Blind Signal Separation Principle and routines Platform: |
Size: 1293312 |
Author:冰激凌 |
Hits:
Description: 本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性，找出相互独立的隐含信息成分，完成分量间高阶冗余的去除及独立信源的提取-In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysis of the fundamental principle is that through the analysis of multi-dimensional data between the relevance of higher-order statistics, independent of each other to identify the implied message composition, the completion of inter-component higher-order removal of redundant and independent source extraction Platform: |
Size: 1241088 |
Author:张敏 |
Hits:
Description: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码，子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
Size: 2048 |
Author:章格 |
Hits:
Description: 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image set to use PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
Size: 165888 |
Author:tanghui |
Hits:
Description: 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 Transform with Perceptron Neural Network.. and the other based on Discrete Cosine Transform with Perceptron Neural Network ...
2- In face expression recognition .. we defined the condition of the person (nature,happiness,disgust or anger)
this source code is based on Principle component analysis(PCA) ..
* we need to now about digital image processing
,neural network and PCA-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 Transform with Perceptron Neural Network.. and the other based on Discrete Cosine Transform with Perceptron Neural Network ...
2- In face expression recognition .. we defined the condition of the person (nature,happiness,disgust or anger)
this source code is based on Principle component analysis(PCA) ..
* we need to now about digital image processing
,neural network and PCA... Platform: |
Size: 11905024 |
Author:mahmoud |
Hits:
Description: Two dimensional principle component Analysis...applied for face images-Two dimensional principle component Analysis...applied for face images..!! Platform: |
Size: 1024 |
Author:pulak |
Hits:
Description: 利用主成分分析和K-means聚类实现聚类的Matlab算法-principle component analysis and then use k-means clustering algorithm to realize the clustering Platform: |
Size: 1024 |
Author:Baojun Ma |
Hits:
Description: 利用Matlab编程实现主成分分析，
Cwstd.m——用总和标准化法标准化矩阵
Cwfac.m——计算相关系数矩阵；计算特征值和特征向量；对主成分进行排序；计算各特征值贡献率；挑选主成分（累计贡献率大于85 ），输出主成分个数；计算主成分载荷
Cwscore.m——计算各主成分得分、综合得分并排序
Cwprint.m——读入数据文件；调用以上三个函数并输出结果
-The use of principal component analysis Matlab programming, Cwstd.m standardization by the sum of the standardized method to calculate the correlation coefficient matrix Cwfac.m matrix computing eigenvalues and eigenvectors sort of the main components calculate the eigenvalues of the contribution rate selection Principal component (cumulative contribution rate is greater than 85 ), the number of output main component calculating the principal component load Cwscore.m calculate the principal component scores, total score and sort Cwprint.m reads data files calls for more than three function and outputs the result Platform: |
Size: 34816 |
Author:吴耕泓 |
Hits:
Search - principle component analysis matlab