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» Additive functions for number systems in function fields
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135
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GPEM
2006
127views more  GPEM 2006»
15 years 3 months ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
153
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PG
2002
IEEE
15 years 8 months ago
A Physics-Based Framework for Subdivision Surface Design with Automatic Rules Control
The recent non-uniform subdivision approach extends traditional uniform subdivision schemes with variable rules, offering additional shape parameters (such as knot spacings) for f...
Hui Xie, Hong Qin
169
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JMLR
2008
230views more  JMLR 2008»
15 years 3 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
15 years 5 months ago
Pull-in control during nanometric positioning by near field position sensing
This paper deals with the pull-in control and the nanopositioning of an electrostatically actuated NEMS (Nano Electromechanical System) squeezed between two forces. It is shown tha...
Sylvain Blanvillain, Alina Voda, Gildas Besan&cced...
TFS
2008
174views more  TFS 2008»
15 years 3 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu