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» Sparse matrix factorization on massively parallel computers
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ESANN
2008
14 years 11 months ago
Comparison of sparse least squares support vector regressors trained in primal and dual
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...
Shigeo Abe
CVPR
2010
IEEE
14 years 9 months ago
Sparse representation using nonnegative curds and whey
It has been of great interest to find sparse and/or nonnegative representations in computer vision literature. In this paper we propose a novel method to such a purpose and refer...
Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, S...
FCCM
2005
IEEE
132views VLSI» more  FCCM 2005»
15 years 3 months ago
Hardware Factorization Based on Elliptic Curve Method
The security of the most popular asymmetric cryptographic scheme RSA depends on the hardness of factoring large numbers. The best known method for factorization large integers is ...
Martin Simka, Jan Pelzl, Thorsten Kleinjung, Jens ...
SC
1995
ACM
15 years 1 months ago
Parallel Implementations of the Power System Transient Stability Problem on Clusters of Workstations
Power system transient stability analysis computes the response of the rapidly changing electrical components of a power system to a sequence of large disturbances followed by ope...
Monika ten Bruggencate, Suresh Chalasani
83
Voted
PPOPP
2010
ACM
15 years 6 months ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...