[Comp-neuro] A parameter-free dimensionality reduction method

桂杰 guijiejie at gmail.com
Thu Nov 5 03:10:33 CET 2015


The paper can be found in
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6560364 and the
matlab code can be downloaded from
http://www.openpr.org.cn/index.php/104-How-to-Estimate-the-Regularization-Parameter-for-Spectral-Regression-Discriminant-Analysis-and-its-Kernel-Version/View-details.html
.

 Whenever you need to use LDA (linear discriminant analysis), you can also
try our method. This method is parameter-free, avoiding the pain of tuning
parameters. When applied to large scale data, it is faster than LDA.
Despite that the paper is a little mathematical intensive, the matlab code
is very easy to use. If you want to use it, there is no need to know the
details of all formulas in this paper. Have funJ
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Associate Professor Jie Gui (Chinese name: 桂杰), PhD
Institute of Intelligent Machines, Chinese Academy of Sciences (CAS)
Hefei 230031, China
Homepage: http://www.escience.cn/people/guijie/index.html
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