Difference between revisions of "Active Learning"

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<li>'''Publications'''
 
<li>'''Publications'''
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<li>S. K. Narang and Antonio Ortega, "Perfect Reconstruction Two-Channel Wavelet Filter-Banks For Graph Structured Data", <i>To appear in IEEE Transactions on Signal Processing</i>[http://arxiv.org/abs/1106.3693<small><b> PDF format</b></small>]</ul>
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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.
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<li>S.K. Narang and A. Ortega, "Multi-dimensional separable critically sampled wavelet filterbanks on arbitrary graphs",<i>To appear in IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'12)</i>
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<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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<li>Woo-Shik Kim, S.K. Narang and A. Ortega, "Graph based transforms for depth video coding",<i>To appear in IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'12)</i>
 
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<li>S.K. Narang and A. Ortega, "Downsampling Graphs Using Spectral Theory",<i>IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'11),</i>[http://biron.usc.edu/~kumarsun/papers/ICASSP11Downsampling.pdf <small><b> PDF format</b></small>],
 
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[http://biron.usc.edu/~kumarsun/Posters/ICASSPPoster2011.pdf <small><b> Poster</b></small>]
 
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<li>S.K. Narang and A. Ortega, "Local Two-Channel Critically Sampled Filter-Banks On Graphs",<i>Intl. Conf. on Image Proc. (ICIP'10),</i>[http://biron.usc.edu/~kumarsun/papers/ICIP10GraphTransform.pdf <small><b> PDF format</b></small>],
 
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[http://biron.usc.edu/~kumarsun/Posters/ICIPPoster2010.pdf <small><b> Poster</b></small>]
 
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<li> S. K. Narang and A. Ortega, "Lifting Based Wavelet Transforms on Graphs". <i>In Proc. of 2009 APSIPA Annual Summit and Conference (APSIPA ASC 2009)</i> Sapporo, Japan [http://biron.usc.edu/~kumarsun/papers/APSIPA_09_Graph_Lifting.pdf <small><b> PDF format</b></small>]</ul>
 
  
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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
    • Retrieved from "https://biron.usc.edu/wiki/index.php?title=Active_Learning&oldid=2830"