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» Boosting products of base classifiers
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CVPR
2005
IEEE
16 years 1 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
WSC
2000
15 years 17 days ago
Optimizing production work flow using OpEMCSS
A graphical discrete event simulation library is proposed for system simulation that is based on interacting concurrent processes. This library works with EXTEND (Imagine That Inc...
John R. Clymer
SENSYS
2006
ACM
15 years 5 months ago
Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks
Sensor networks exhibit a unique funneling effect which is a product of the distinctive many-to-one, hop-by-hop traffic pattern found in sensor networks, and results in a signific...
Gahng-Seop Ahn, Se Gi Hong, Emiliano Miluzzo, Andr...
ISCI
2007
130views more  ISCI 2007»
14 years 11 months ago
Learning to classify e-mail
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...
Irena Koprinska, Josiah Poon, James Clark, Jason C...
SCCC
2000
IEEE
15 years 3 months ago
A Genetic Classifier Tool
Knowledge discovery is the most desirable end product of an enterprise information system. Researches from different areas recognize that a new generation of intelligent tools for...
Aurora T. R. Pozo, Mozart Hasse