@inproceedings{www2009174,
       booktitle = {18th International World Wide Web Conference},
           month = {April},
           title = {Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel},
          author = {Haiqiang Zuo and Weiming Hu and Ou Wu and Yunfei Chen and Guan Luo},
            year = {2009},
           pages = {1187--1187},
             url = {http://www2009.eprints.org/174/},
        abstract = {Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features of images and run a one-class SVM classifier which uses the pyramid match kernel as the kernel function to detect image spam. Experimental results demonstrate that our algorithm is effective for fighting image spam.}
}