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» Fusion of multiple classifiers
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173
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IPSN
2007
Springer
15 years 9 months ago
Tracking multiple targets using binary proximity sensors
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Jaspreet Singh, Upamanyu Madhow, Rajesh Kumar 0003...
CVIU
2008
124views more  CVIU 2008»
15 years 3 months ago
Measuring novelty and redundancy with multiple modalities in cross-lingual broadcast news
News videos from different channels, languages are broadcast everyday, which provide abundant information for users. To effectively search, retrieve, browse and track news stories...
Xiao Wu, Alexander G. Hauptmann, Chong-Wah Ngo
154
Voted
ATAL
2007
Springer
15 years 7 months ago
Determining confidence when integrating contributions from multiple agents
Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the co...
Raphen Becker, Daniel D. Corkill
145
Voted
CVPR
2008
IEEE
15 years 5 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
150
Voted
AI
2010
Springer
15 years 5 months ago
Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions
Error-Correcting Output Coding (ECOC) is a general framework for multiclass text classification with a set of binary classifiers. It can not only help a binary classifier solve mul...
Baoli Li, Carl Vogel