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Description: 一种主元分析的人脸识别matlab源码，利用SVD分解提取主分量进行人脸识别
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Size: 1295 |
Author: 牛险峰 |
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Description: 采用两种方法计算PCA的程序：SVD和计算Covariance。程序包括VC++代码和Matlab代码。
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Size: 22372 |
Author: myb |
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Description: 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
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Size: 2048 |
Author: imago |
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Description: 一种主元分析的人脸识别matlab源码，利用SVD分解提取主分量进行人脸识别-A principal component analysis for face recognition matlab source code, the use of SVD decomposition to extract principal components for face recognition
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Size: 1024 |
Author: 牛险峰 |
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Description: 笔者自行编写的Matlab环境下的人脸识别算法小实验，
采用的是经典的PCA算法，主要内容是采用SVD方法提取出象素空间上的
PCA主分量特征，分类算法上仅是基于最小距离分类
-The author of the Matlab environment to prepare the face recognition algorithm under small experiment using classical PCA algorithm, the main contents of SVD method is used to extract pixel space on the PCA principal component features, the only classification algorithm is based on the minimum distance classifier
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Size: 27648 |
Author: 杨愚根 |
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Description: 采用两种方法计算PCA的程序：SVD和计算Covariance。程序包括VC++代码和Matlab代码。-PCA method uses two types of procedures: SVD and calculate Covariance. Procedures including VC++ Code and Matlab code.
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Size: 22528 |
Author: myb |
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Description: SDL Component suite for D6
SDL 组建是一套支持科学和工程计算的工业控件集，有10万行源码，50个例程.
3D 数据， 3D 数据，地图集，原子符号，β函数的情节的旋转，校验扫描的图像， CAS 登记号码，图表，颜色选择， 常量和兑换率，轮廓绘制，化学结构，化学数据，化学公式，Ｘ分配，群聚，转换程序，曲线适合， 地理数据，基体，图解，目录，配给，矩阵标签， eigenvectors， F-分布， FFT( 快速傅里叶变换) 小圆点的决定因素的数据库， 先进先出，文件和磁盘进入，γ函数，地理地图集，地理地图，坡度填补， grep，同位素， Kohonen 神经网络， KNN( k 最近邻) ，标签开动网络浏览程序，列举意见，地图，数学，矩阵，仪表展示， MLR( 多线性回归)， 分子公式，神经网络，正规分布，数值的输入，数字标签，数字桌子编辑程序，元素周期表，极地的图解， PCA( 主成分分析)，发展酒吧，配给，随便发电机，回归， RLE( 行程编码)，数据的轮流的quantiles， 科学图表， scrollable 展示，清除，花键，棋盘式分照表，统计，溪，线矩阵，串处理技术，数据的表面情节， SVD( sigular 估价分解)， t 分配，价电子，矢量，数据， VU 米的形象化
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Size: 436224 |
Author: ddl |
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Description: SDL Component suite for D6
SDL 组建是一套支持科学和工程计算的工业控件集，有10万行源码，50个例程.
3D 数据， 3D 数据，地图集，原子符号，β函数的情节的旋转，校验扫描的图像， CAS 登记号码，图表，颜色选择， 常量和兑换率，轮廓绘制，化学结构，化学数据，化学公式，Ｘ分配，群聚，转换程序，曲线适合， 地理数据，基体，图解，目录，配给，矩阵标签， eigenvectors， F-分布， FFT( 快速傅里叶变换) 小圆点的决定因素的数据库， 先进先出，文件和磁盘进入，γ函数，地理地图集，地理地图，坡度填补， grep，同位素， Kohonen 神经网络， KNN( k 最近邻) ，标签开动网络浏览程序，列举意见，地图，数学，矩阵，仪表展示， MLR( 多线性回归)， 分子公式，神经网络，正规分布，数值的输入，数字标签，数字桌子编辑程序，元素周期表，极地的图解， PCA( 主成分分析)，发展酒吧，配给，随便发电机，回归， RLE( 行程编码)，数据的轮流的quantiles， 科学图表， scrollable 展示，清除，花键，棋盘式分照表，统计，溪，线矩阵，串处理技术，数据的表面情节， SVD( sigular 估价分解)， t 分配，价电子，矢量，数据， VU 米的形象化
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Size: 551936 |
Author: ddl |
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Description: PCA
SVD的区别联系，加入尺度空间的分析，值得一看-The difference between PCA SVD links add scale space analysis, see
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Size: 45056 |
Author: levoy |
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Description: pca分解的核函数，在pca分解中可以用到，特别是分解的矩阵维数比较高的情况下，通过svd分解获得pca基-pca decomposition of the kernel function, in the pca decomposition can be used, in particular the decomposition of the matrix of higher dimension, through the svd decomposition was pca-based
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Size: 2048 |
Author: lut |
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Description: Eigenfaces tests for grayscale images using PCA and SVD
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Size: 1522688 |
Author: Dwra |
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Description: ) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。-) The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.
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Size: 1024 |
Author: 周参 |
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Description: svd提取特征脸，Computer Vision课程作业，用PCA计算特征脸，提取主成分，用PCA系数进行相似度计算。-comupute face similarity using eigenface and PCA analysis
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Size: 1024 |
Author: yuxin |
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Description:
I am submitting my Computational science and engineering assignment #3 based on SVD/PCA.The zip file contains matlab codes of Exercise no:1 and Exercise no:3 as program_1.m and program_3.m files respectively.
I have made a separate reports for the above said two exercises as Report_problem1 and Report_problem3, both in pdf format.
Please find the attached zip file.
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I am submitting my Computational science and engineering assignment #3 based on SVD/PCA.The zip file contains matlab codes of Exercise no:1 and Exercise no:3 as program_1.m and program_3.m files respectively.
I have made a separate reports for the above said two exercises as Report_problem1 and Report_problem3, both in pdf format.
Please find the attached zip file.
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Size: 8065024 |
Author: Nitishnitts |
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Description: ORL人脸的svd实现PCA主成分提取，并求出人脸均值，直方均衡比较-PR histgram,svd,pca
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Size: 66560 |
Author: zhangqin |
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Description: Face Recognition By PCA using SVD technique .
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Size: 2605056 |
Author: hamedvahedian |
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Description: 在人脸识别中的降维问题，应用PCA和SVD等方法来分析和解决-Dimensionality reduction in face recognition problems, the application of methods such as PCA and SVD to analyze and solve
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Size: 804864 |
Author: candies |
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Description: 本程序详细区别了matlab中pca、svd、eig三个函数的区别和联系。对于学习pca有极大帮助-This program detailing the differences between the differences and connections in matlab pca, svd, eig three functions. Pca great help for learning
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Size: 1024 |
Author: 王伟 |
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Description: 1、读入图片，根据PGN格式的line 2 确定矩阵的大小为 28*28=784，根据line4 获取.
2、读入图片，根据PGN格式的line 2 确定矩阵的大小为 28*28=784，根据line4 获取。
3、计算平均矩阵。
4、对平均值矩阵进行SVD：
5、平均矩阵进行SVD后的前20个singular vector的输出结果。
6. 将训练集的每一张图片当成一行，形成一个矩阵，然后对矩阵进行PCA分解。
7. 这个矩阵对测试集的每张图片进行降 维，得到的图像。(1, read the picture, according to the line 2 of PGN format, the size of the matrix is 28*28=784, obtained according to the line4.
2, read the picture, according to the line 2 of PGN format, the size of the matrix is 28*28=784, obtained according to the line4.
3. Calculate the average matrix.
4. The average value matrix is SVD:
5. The average matrix carries out the output of the first 20 singular vector after SVD.
6. take each picture of the training set as a line, form a matrix, and then decompose the matrix by PCA.
7. this matrix reduces the dimension of each picture of the test set and gets the image.)
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Size: 6418432 |
Author: 彦雁 |
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Description: 使用PCA和SVD进行数据去噪，利用数据主要的特征向量进行数据恢复和重建(Using PCA and SVD for data denoising)
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Size: 555008 |
Author: 阿波罗之瞳 |
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