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» Extremal Problems of Information Combining
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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 2 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
PR
2008
120views more  PR 2008»
13 years 9 months ago
Fuzzy integral based information fusion for classification of highly confusable non-speech sounds
Acoustic event classification may help to describe acoustic scenes and contribute to improve the robustness of speech technologies. In this work, fusion of different information s...
Andrey Temko, Dusan Macho, Climent Nadeu
EXTREME
2004
ACM
14 years 2 months ago
Automated Quality Assurance for Heuristic-Based XML Creation Systems
Large volumes of XML document instances are created by conversion systems that rely on heuristic-based tagging. Quality assurance is typically conducted on individual document ins...
Bruce Rosenblum, Irina Golfman
CVPR
2003
IEEE
14 years 11 months ago
Fusing Online and Offline Information for Stable 3D Tracking in Real-Time
We propose an efficient online real-time solution for singlecamera 3?D tracking of rigid objects that can handle large camera displacements, drastic aspect changes, and partial oc...
Luca Vacchetti, Vincent Lepetit, Pascal Fua
GECCO
2005
Springer
170views Optimization» more  GECCO 2005»
14 years 2 months ago
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information
A new approach based on Estimation Distribution Algorithms for constrained multiobjective shape optimization is proposed in this article. Pareto dominance and feasibility rules ar...
Sergio Ivvan Valdez Peña, Salvador Botello ...