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» Monte Carlo methods for matrix computations on the grid
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CMSB
2004
Springer
15 years 1 months ago
Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data
We propose a robust estimation method of gene networks based on microarray gene expression data. It is well-known that microarray data contain a large amount of noise and some outl...
Seiya Imoto, Tomoyuki Higuchi, SunYong Kim, Euna J...
HPCN
1997
Springer
15 years 1 months ago
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Eric de Sturler, Damian Loher
IROS
2006
IEEE
120views Robotics» more  IROS 2006»
15 years 3 months ago
Optimal local map size for EKF-based SLAM
Abstract— In this paper we show how to optimize the computational cost and maximize consistency in EKF-based SLAM for large environments. We combine Local Mapping with Map Joinin...
Lina María Paz, José Neira
SIGGRAPH
2010
ACM
15 years 2 months ago
Optimizing walking controllers for uncertain inputs and environments
We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user contr...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
14 years 8 months ago
Improving indoor navigation of autonomous robots by an explicit representation of doors
— In the last decades, tremendous progress has been made in the field of autonomous indoor navigation for mobile robots. However, these approaches assume the structural part of ...
Matthias Nieuwenhuisen, Jörg Stückler, S...