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185
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CSL
2008
Springer
15 years 6 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
170
Voted
ECOI
2010
117views more  ECOI 2010»
15 years 6 months ago
Ensemble extraction for classification and detection of bird species
Advances in technology have enabled new approaches for sensing the environment and collecting data about the world. Once collected, sensor readings can be assembled into data stre...
Eric P. Kasten, Philip K. McKinley, Stuart H. Gage
IJSI
2008
129views more  IJSI 2008»
15 years 6 months ago
Managing the Acronym/Expansion Identification Process for Text-Mining Applications
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Mathieu Roche, Violaine Prince
JCP
2008
112views more  JCP 2008»
15 years 6 months ago
Speech Displaces the Graphical Crowd
Developers of visual Interface Design Environments (IDEs), like Microsoft Visual Studio and Java NetBeans, are competing in producing pretty crowded graphical interfaces in order t...
Mohammad M. Alsuraihi, Dimitris I. Rigas
PAMI
2008
391views more  PAMI 2008»
15 years 6 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
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