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» A Categorical Setting for Lower Complexity
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IJAOSE
2010
126views more  IJAOSE 2010»
14 years 7 months ago
Automated analysis of compositional multi-agent systems
An approach for handling the complex dynamics of a multi-agent system is based on distinguishing aggregation levels. The behaviour at a given aggregation level is specified by a se...
Alexei Sharpanskykh, Jan Treur
ALT
2010
Springer
14 years 11 months ago
Bayesian Active Learning Using Arbitrary Binary Valued Queries
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
Liu Yang, Steve Hanneke, Jaime G. Carbonell
JUCS
2010
109views more  JUCS 2010»
14 years 8 months ago
Classification of Software for the Simulation of Light Scattering and Realization within an Internet Information Portal
: Light scattering studies are done by researchers of various scientific areas. As the calculation of the scattering behavior by small particles is rather complex, corresponding pr...
Jens Hellmers, Thomas Wriedt
ICASSP
2011
IEEE
14 years 1 months ago
Log-gaussian cox processes of visual keypoints for sonar texture recognition
In this paper, invariant sonar texture characterization for seabed classification is addressed from the spatial distribution of image keypoints using log-Gaussian Cox processes. ...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
PAMI
2006
185views more  PAMI 2006»
14 years 9 months ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...