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COLING
2010
14 years 4 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
CVPR
2005
IEEE
15 years 12 months ago
Concurrent Subspaces Analysis
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
Dong Xu, Shuicheng Yan, Lei Zhang, HongJiang Zhang...
CVPR
2007
IEEE
15 years 12 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
DBISP2P
2005
Springer
183views Database» more  DBISP2P 2005»
15 years 3 months ago
Database Selection and Result Merging in P2P Web Search
Intelligent Web search engines are extremely popular now. Currently, only commercial centralized search engines like Google can process terabytes of Web data. Alternative search en...
Sergey Chernov, Pavel Serdyukov, Matthias Bender, ...
FORMATS
2007
Springer
15 years 1 months ago
Partial Order Reduction for Verification of Real-Time Components
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
John Håkansson, Paul Pettersson