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ICRA
2002
IEEE
188views Robotics» more  ICRA 2002»
15 years 3 months ago
Hybrid Mobile Robot Localization using Switching State-Space Models
—This article describes a rigorous and complete framework for the simultaneous localization and map building problem for mobile robots: the symmetries and perturbations map (SPma...
Haris Baltzakis, Panos E. Trahanias
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 2 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
MICCAI
2005
Springer
15 years 11 months ago
Incorporating Statistical Measures of Anatomical Variability in Atlas-to-Subject Registration for Conformal Brain Radiotherapy
Deforming a digital atlas towards a patient image allows the simultaneous segmentation of several structures. Such an intersubject registration is difficult as the deformations to ...
Grégoire Malandain, Nicholas Ayache, Olivie...
DAC
2006
ACM
15 years 11 months ago
SAT sweeping with local observability don't-cares
SAT sweeping is a method for simplifying an AND/INVERTER graph (AIG) by systematically merging graph vertices from the inputs towards the outputs using a combination of structural...
Qi Zhu, Nathan Kitchen, Andreas Kuehlmann, Alberto...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 1 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi