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Description: 基于正则化转置的LDA matlab源代码，可以应用在人脸识别中，详细说明见readme-based Regularization home to the LDA Matlab source code, can be applied to face recognition, detailed explanation see readme
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Author: andy |
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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
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Author: qiuzhihao |
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Description: 基于正则化转置的LDA matlab源代码，可以应用在人脸识别中，详细说明见readme-based Regularization home to the LDA Matlab source code, can be applied to face recognition, detailed explanation see readme
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Author: andy |
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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
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Author: qiuzhihao |
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Description: 正则化LDA，最新！对于图像降维与图像识别的研究有很重要的研究意义-Regularized LDA, the latest! Dimension reduction for images and image recognition of a very important research significance
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Author: 郝人 |
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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
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Size: 649216 |
Author: 王扶助 |
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Description: lda的matlab实现，lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.-lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface).
This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textual data format that is almost the same as SVMlight or TinySVM.
This package can be used as an aid to understand LDA, or simply as a regularized alternative to PLSI, which has a severe overfitting problem due to its maximum likelihood structure.
For advanced users who wish to benefit from the latest result, consider using npbayes or MPCA: though, they have data formats different from above.
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Author: 乌龟 |
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