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» A Data Locality Optimizing Algorithm
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IROS
2006
IEEE
162views Robotics» more  IROS 2006»
16 years 1 months ago
Efficiency Improvement in Monte Carlo Localization through Topological Information
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
Tae-Bum Kwon, Ju-Ho Yang, Jae-Bok Song, Woojin Chu...
231
Voted
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 6 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun
278
Voted
VLSISP
2010
254views more  VLSISP 2010»
15 years 5 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
EVOW
2010
Springer
16 years 15 days ago
A Genetic Algorithm to Minimize Chromatic Entropy
We present an algorithmic approach to solving the problem of chromatic entropy, a combinatorial optimization problem related to graph coloring. This problem is a component in algor...
Greg Durrett, Muriel Médard, Una-May O'Reil...
200
Voted
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 8 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...