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ICASSP
2009
IEEE
13 years 5 months ago
Image spam filtering using Fourier-Mellin invariant features
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spam...
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 2 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
WWW
2008
ACM
14 years 8 months ago
Extracting spam blogs with co-citation clusters
This paper reports the estimated number of spam blogs in order to assess their current state in the blogosphere. To extract spam blogs, I developed a traversal method among co-cit...
Kazunari Ishida
CHINZ
2007
ACM
13 years 11 months ago
Users dealing with spam and spam filters: some observations and recommendations
The email communication system is threatened by unsolicited commercial email aka spam. In response, spam filters have been deployed widely to help reduce the amount of spam users ...
Christopher Lueg, Sam Martin
ELPUB
2007
ACM
13 years 11 months ago
The Fight against Spam - A Machine Learning Approach
The paper presents a brief survey of the fight between spammers and antispam software developers, and also describes new approaches to spam filtering. In the first two sections we...
Karel Jezek, Jiri Hynek