41 search results - page 1 / 9 » Learning Fast Classifiers for Image Spam |
CEAS
2007
Springer
13 years 8 months ago
2007
Springer
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
CEAS
2007
Springer
13 years 11 months ago
2007
Springer
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
CEAS
2007
Springer
13 years 8 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
WWW
2008
ACM
14 years 5 months ago
2008
ACM
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
ISCI
2007
13 years 4 months ago
2007
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...