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» Combining email models for false positive reduction
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IAT
2008
IEEE
13 years 11 months ago
A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters
By feeding personal e-mails into the training set, personalized content-based spam filters are believed to classify e-mails in higher accuracy. However, filters trained by both sp...
Wei-Lun Teng, Wei-Chung Teng
BIRTHDAY
2010
Springer
13 years 6 months ago
Counterexample Guided Path Reduction for Static Program Analysis
Abstract. In this work we introduce counterexample guided path reduction based on interval constraint solving for static program analysis. The aim of this technique is to reduce th...
Ansgar Fehnker, Ralf Huuck, Sean Seefried
CEAS
2008
Springer
13 years 6 months ago
The Effectiveness of Whitelisting: a User-Study
We believe this paper is the first extensive user-study of whitelisting email addresses. While whitelists are common in social networking and instant messaging (e.g., buddylists),...
David Erickson, Martin Casado, Nick McKeown
20
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ICASSP
2011
IEEE
12 years 8 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
TKDE
2008
103views more  TKDE 2008»
13 years 4 months ago
Detecting Word Substitutions in Text
Searching for words on a watchlist is one way in which large-scale surveillance of communication can be done, for example, in intelligence and counterterrorism settings. One obviou...
SzeWang Fong, Dmitri Roussinov, David B. Skillicor...