A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images

@article{Gao2010ANS,
  title={A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images},
  author={Yan Gao and Alok N. Choudhary and Gang Hua},
  journal={2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2010},
  pages={5594-5597}
}
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam from client side. To effectively detect the attack activities of the spammers and fast trace back the spam sources, it is also essential to employ cluster analysis to comprehensively filter the image emails on the server side. In this paper, we present a nonnegative sparsity induced similarity measure for cluster… CONTINUE READING
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