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» Computationally efficient methods for digital control
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MOBISYS
2010
ACM
15 years 9 days ago
PRISM: platform for remote sensing using smartphones
To realize the potential of opportunistic and participatory sensing using mobile smartphones, a key challenge is ensuring the ease of developing and deploying such applications, w...
Tathagata Das, Prashanth Mohan, Venkata N. Padmana...
CASES
2010
ACM
14 years 8 months ago
Resource recycling: putting idle resources to work on a composable accelerator
Mobile computing platforms in the form of smart phones, netbooks, and personal digital assistants have become an integral part of our everyday lives. Moving ahead to the future, m...
Yongjun Park, Hyunchul Park, Scott A. Mahlke, Sukj...
GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
14 years 11 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
GRAPHICSINTERFACE
2007
14 years 11 months ago
A GPU based interactive modeling approach to designing fine level features
In this paper we propose a GPU based interactive geometric modeling approach to designing fine level features on subdivision surfaces. Displacement mapping is a technique for addi...
Xin Huang, Sheng Li, Guoping Wang
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 10 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy