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» Improved Phishing Detection using Model-Based Features
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116
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BMCBI
2005
87views more  BMCBI 2005»
15 years 2 months ago
ProfNet, a method to derive profile-profile alignment scoring functions that improves the alignments of distantly related protei
Background: Profile-profile methods have been used for some years now to detect and align homologous proteins. The best such methods use information from the background distributi...
Tomas Ohlson, Arne Elofsson
138
Voted
ICCV
2005
IEEE
15 years 8 months ago
TemporalBoost for Event Recognition
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
Paul Smith, Niels da Vitoria Lobo, Mubarak Shah
CVPR
2009
IEEE
16 years 10 months ago
Multi-Cue Onboard Pedestrian Detection
Various powerful people detection methods exist. Surprisingly, most approaches rely on static image features only despite the obvious potential of motion information for people ...
Christian Wojek (TU Darmstadt), Stefan Walk (TU Da...
120
Voted
NAACL
2010
15 years 20 days ago
Using Mostly Native Data to Correct Errors in Learners' Writing
We present results from a range of experiments on article and preposition error correction for non-native speakers of English. We first compare a language model and errorspecific ...
Michael Gamon
136
Voted
ACL
2003
15 years 4 months ago
tRuEcasIng
Truecasing is the process of restoring case information to badly-cased or noncased text. This paper explores truecasing issues and proposes a statistical, language modeling based ...
Lucian Vlad Lita, Abraham Ittycheriah, Salim Rouko...