document: Detecting image spam using local invariant features and pyramid match kernel 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 .
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