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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: 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: 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: 该程序旨在模拟处理分析多种化学物质混合物的吸收光谱数据，提取出各个化学成分的峰值所在。该程序采用svd方法对光谱数据的协方差矩阵进行PCA分析，并且取得令人满意的效果。-The program designed to simulate the processing and analysis of multiple chemical mixtures of the absorption spectra of the data, extracting the chemical composition of each peak is located. The program uses svd method for spectral data, the covariance matrix PCA analysis, and achieve satisfactory results.
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Size: 741376 |
Author: 马思土 |
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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: 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: PCA主成分分析，采用KL投影和SVD分解提取人脸特征向量，最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
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Size: 5150720 |
Author: JasonYau |
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Description: SVD进行特征脸提取，和PCA类似，选取前30个特征脸，并且将它显示这30个特征脸-SVD face feature extraction, and PCA is similar to the first 30 eigenfaces, and will it show that 30 eigenface
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Size: 6149120 |
Author: hxl |
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Description: 机器学习算法，包括主成分分析方法，奇异值分解，逻辑回归，最小二乘法线性回归，朴素贝叶斯-machine learning algorithm prototype including PCA, SVD, Logic Regression, LMS and Naive Bayes
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Size: 6144 |
Author: xiaozhiz |
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Description: 最新SVM和PCA的人脸识别系统,详细地给出了用SVM解决问题的一般框架-Latest SVD and PCA Face Recognition System
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Size: 9040896 |
Author: 姜奥雄 |
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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: Principal components analysis is one of a family of
techniques for taking high-dimensional data, and using the
dependencies between the variables to represent it in a more
tractable, lower-dimensional form, without losing too much
information. PCA is one of the simplest
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Size: 574464 |
Author: hiyam
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Description: 矩阵 pca或者低秩方法去噪，利用svd分解，实现对图像矩阵的去噪，该方法支持对rgb图像的去噪。使用代码请 文章中表明出处，感谢。
感谢重庆市研究生科研创新项目支持，项目号CYS16183(image denoise by low-rand regularizer or pca method. the low rank is evaluted by svd, and this method is also support for rgb image.)
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Size: 302080 |
Author: cavin
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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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Description: 了解降维、特征筛选等基本原理
掌握PCA、SVD、LAD和NMF等算法实现及应用(Understand the basic principles of dimensionality reduction and feature selection
Master the algorithm implementation and application of PCA, SVD, lad and NMF)
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Size: 870400 |
Author: 宋楠楠123 |
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