Difference between revisions of "Active Learning"

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The code below applies the proposed active learning method to the USPS Handwritten Digit Recognition dataset. It is written in MATLAB R2013a. It uses the SGWT toolbox which is also included. To run the code, simply unpack the directory and run main_usps.m. If you have any questions, please email agadde at usc dot edu.
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The code below applies the proposed active learning method to USPS Handwritten Digit Recognition dataset. It is written in MATLAB R2013a. It uses the SGWT toolbox which is also included. To run the code, simply unpack the directory and run main_usps.m. If you have any questions, please email agadde at usc dot edu.
  
 
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[http://sipi.usc.edu/~ortega/Papers/active-ssl-via-sampling-theory-code.zip  Active SSL via Sampling Theory Code]
 
[http://sipi.usc.edu/~ortega/Papers/active-ssl-via-sampling-theory-code.zip  Active SSL via Sampling Theory Code]

Revision as of 08:47, 21 January 2015

  • Publications


  • Software
      The code below applies the proposed active learning method to USPS Handwritten Digit Recognition dataset. It is written in MATLAB R2013a. It uses the SGWT toolbox which is also included. To run the code, simply unpack the directory and run main_usps.m. If you have any questions, please email agadde at usc dot edu.