Description: Linear Discriminant Analysis算法，此压缩包中已经带有大量train和test的相关图片，用于做人脸识别。LDA算法也可以用于其他领域如语音信号处理，此代码仅供研究，请勿用于商业！-Linear Discriminant Analysis algorithm, this package has been compressed with a large number of train and test the relevance of images, for face recognition to do. LDA algorithm can also be used in other fields such as speech signal processing, this code only for research, not for business! Platform: |
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Author:cjs |
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Description: Matlab source codes for the regularized linear discriminant analysis (R-LDA)，Author: Lu Juwei，Bell Canada Multimedia Lab, Dept. of ECE, U. of Toronto，Released in 01 November 2004 -Matlab source codes for the regularized linear discriminant analysis (R-LDA), Author: Lu Juwei, Bell Canada Multimedia Lab, Dept. Of ECE, U. of Toronto, Released in 01 November 2004 Platform: |
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Author:qiuzhihao |
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Description: 代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。
-Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value. Platform: |
Size: 44032 |
Author:张开洲 |
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Description: matlab对于线性判别分析的代码，过程详细易懂，相信对大家有用。-matlab code for linear discriminant analysis, to understand the process in detail, we believe to be useful. Platform: |
Size: 1024 |
Author:baojunli |
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Description: Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition:
Principal Component Analysis
Fisher’s Linear Discriminant Analysis
Support Vector Machines (SVM)
The code was written in Matlab, and it requires the user to install LIBSVM. Three face s are included to test the effectiveness of the algorithm in cases where the faces have variation in pose and illumination. Platform: |
Size: 9650176 |
Author:saisai |
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