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PROCEDIA
2010
67views more  PROCEDIA 2010»
15 years 4 months ago
Using the feasible set method for rezoning in ALE
One of the steps in the Arbitrary Lagrangian Eulerian (ALE) algorithm is the improvement of the quality of the computational mesh. This step, commonly referred to as rezoning, is ...
Markus Berndt, Milan Kucharik, Mikhail J. Shashkov
NN
2010
Springer
189views Neural Networks» more  NN 2010»
15 years 1 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
ECCV
2008
Springer
16 years 8 months ago
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys
EUROPAR
2009
Springer
16 years 1 months ago
PSPIKE: A Parallel Hybrid Sparse Linear System Solver
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Murat Manguoglu, Ahmed H. Sameh, Olaf Schenk
SIGIR
2004
ACM
15 years 12 months ago
Retrieval evaluation with incomplete information
This paper examines whether the Cranfield evaluation methodology is robust to gross violations of the completeness assumption (i.e., the assumption that all relevant documents wi...
Chris Buckley, Ellen M. Voorhees