Difference between revisions of "Active Learning"

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<li>A. Gadde, A. Anis and A. Ortega "[http://sipi.usc.edu/~ortega/Papers/Gadde_KDD_14.pdf  Active Semi-Supervised Learning Using Sampling Theory for Graph Signals]",  <i>KDD 2014</i>,  New York, USA, 2014 ([http://sipi.usc.edu/~ortega/Papers/active-ssl-via-sampling-theory-code.zip  Matlab Code]).
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<li>A. Gadde, A. Anis and A. Ortega "[http://sipi.usc.edu/~ortega/Papers/Gadde_KDD_14.pdf  Active Semi-Supervised Learning Using Sampling Theory for Graph Signals]",  <i>KDD 2014</i>,  New York, USA, 2014.
  
 
<LI>A. Anis, A. Gadde and A. Ortega "[http://sipi.usc.edu/~ortega/Papers/Anis_ICASSP_14.pdf  Towards a Sampling Theorem for Signals on Arbitrary Graphs]",  <i>ICASSP 2014</i>,  Florence, Italy, 2014 (Best student paper award).
 
<LI>A. Anis, A. Gadde and A. Ortega "[http://sipi.usc.edu/~ortega/Papers/Anis_ICASSP_14.pdf  Towards a Sampling Theorem for Signals on Arbitrary Graphs]",  <i>ICASSP 2014</i>,  Florence, Italy, 2014 (Best student paper award).
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<LI>S.K. Narang, A. Gadde and A. Ortega "[http://sipi.usc.edu/~ortega/Papers/Narang_ICASSP_13.pdf  Signal Processing Techniques for Interpolation of Graph Structured Data]",  <i>ICASSP 2013</i>,  Vancouver, Canada, 2013.
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<LI>S.K. Narang, A. Gadde, E. Sanou and A. Ortega "[http://sipi.usc.edu/~ortega/Papers/Narang_GlobalSIP_13.pdf  Localized Iterative Methods for Interpolation of Graph Structured Data]",  <i>GlobalSIP 2013</i>,  Austin, USA, 2013.
  
 
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<li>'''Software'''
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The code below applies the proposed active learning method to [http://www.cs.nyu.edu/~roweis/data.html USPS Handwritten Digit Recognition dataset]. It is written in MATLAB R2013a. It uses the [http://wiki.epfl.ch/sgwt SGWT toolbox] which is also included.
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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]

Latest revision as of 08:59, 21 January 2015

  • Publications


  • Software