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FOCI
2007
IEEE
15 years 4 months ago
Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate
— In this paper, a time varying jumping rate (TVJR) model for Opposition-Based Differential Evolution (ODE) has been proposed. According to this model, the jumping rate changes l...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
COMPLIFE
2006
Springer
15 years 2 months ago
Adaptive Approach for Modelling Variability in Pharmacokinetics
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
Andrea Y. Weiße, Illia Horenko, Wilhelm Huis...
ICCV
2011
IEEE
13 years 10 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
CVPR
2011
IEEE
14 years 6 months ago
Variable Grouping for Energy Minimization
This paper addresses the problem of efficiently solving large-scale energy minimization problems encountered in computer vision. We propose an energy-aware method for merging ran...
Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Cha...
ICST
2008
IEEE
15 years 4 months ago
Efficient Test Data Generation for Variables with Complex Dependencies
This paper introduces a new method for generating test data that combines the benefits of equivalence partitioning, boundary value analysis and cause-effect analysis. It is suitab...
Armin Beer, Stefan Mohacsi