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» NINJA: Java for high performance numerical computing
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CVPR
2004
IEEE
14 years 10 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
DSN
2000
IEEE
14 years 1 months ago
Software-Implemented Fault Detection for High-Performance Space Applications
We describe and test a software approach to overcoming radiation-induced errors in spaceborne applications running on commercial off-the-shelf components. The approach uses checks...
Michael J. Turmon, Robert Granat, Daniel S. Katz
IEICET
2007
131views more  IEICET 2007»
13 years 8 months ago
High Accuracy Fundamental Matrix Computation and Its Performance Evaluation
We compare the convergence performance of different numerical schemes for computing the fundamental matrix from point correspondences over two images. First, we state the problem ...
Ken-ichi Kanatani, Yasuyuki Sugaya
PPOPP
2005
ACM
14 years 2 months ago
Fault tolerant high performance computing by a coding approach
As the number of processors in today’s high performance computers continues to grow, the mean-time-to-failure of these computers are becoming significantly shorter than the exe...
Zizhong Chen, Graham E. Fagg, Edgar Gabriel, Julie...
ICCS
2003
Springer
14 years 1 months ago
Mantle Convection Modeling with Viscoelastic/Brittle Lithosphere: Numerical and Computational Methodology
The Earth’s tectonic plates are strong, viscoelastic shells which make up the outermost part of a thermally convecting, predominantly viscous layer; at the boundaries between pla...
Louis Moresi, David May, Justin Freeman, Bill F. A...