Software Engineering White Papers
Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel
Overview Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. This paper extracts local invariant features of images and runs a one-class SVM classifier which uses the pyramid match kernel as the kernel function to detect image spam. Experimental results demonstrate that their algorithm is effective for fighting image spam.
| Publisher | Association for Computing Machinery | File Format | |
|---|---|---|---|
| Date Published | April 2009 | ||
| Format | White Papers | ||
| Topics | |||
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