174
4
archive
disk0/00/00/01/74
2009-04-06 19:14:00
2009-04-07 14:03:08
2009-04-06 19:14:00
conference_item
show
0
-
Zuo
Haiqiang
Chinese Academy of Sciences
-
Hu
Weiming
Chinese Academy of Sciences
-
Wu
Ou
Chinese Academy of Sciences
-
Chen
Yunfei
Chinese Academy of Sciences
-
Luo
Guan
Chinese Academy of Sciences
Detecting Image Spam Using Local Invariant Features and Pyramid Match Kernel
pub
public
poster
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.
2009-04
1187-1187
18th International World Wide Web Conference
Madrid, Spain
April 20th-24th, 2009
conference
TRUE
174
4
174
1
application/pdf
en
public
p1187.pdf
published
p1187.pdf
670697
http://www2009.eprints.org/174/1/p1187.pdf