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» On the computational power of iterative auctions
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2009
ACM
15 years 4 months ago
Autotuning multigrid with PetaBricks
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the ...
Cy P. Chan, Jason Ansel, Yee Lok Wong, Saman P. Am...
CLUSTER
2000
IEEE
15 years 2 months ago
Multi-Grid Acceleration of a SIMPLE-Based CFD-Code and Aspects of Parallelization
The present study treats the calculation of the continuous phase of a multiphase flow, i.e. the numerical solution of the equations for a turbulent incompressible flow. An exist...
Klaus Bernert, Thomas Frank, Hellfried Schneider, ...
83
Voted
ICCV
2003
IEEE
15 years 11 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 6 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
OOPSLA
2009
Springer
15 years 4 months ago
Coherent reaction
Side effects are both the essence and bane of imperative programming. The programmer must carefully coordinate actions to manage their side effects upon each other. Such coordinat...
Jonathan Edwards