Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2009/paper/174> ?p ?o. }
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- 174 type InProceedings.
- 174 label "Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel".
- 174 sameAs 174.
- 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.".
- 174 hasAuthorList authorList.
- 174 isPartOf proceedings.
- 174 keyword "Poster Session".
- 174 title "Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel".