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TPDS
2010
159views more  TPDS 2010»
13 years 7 months ago
Exploring In-Situ Sensing Irregularity in Wireless Sensor Networks
The circular sensing model has been widely used to estimate performance of sensing applications in existing analysis and simulations. While this model provides valuable high-level...
Joengmin Hwang, Tian He, Yongdae Kim
EUROPAR
2007
Springer
14 years 2 months ago
Fine Tuning Algorithmic Skeletons
Abstract. Algorithmic skeletons correspond to a high-level programming model that takes advantage of nestable programming patterns to hide the complexity of parallel/distributed ap...
Denis Caromel, Mario Leyton
ICCV
2009
IEEE
15 years 1 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
NIPS
2008
13 years 10 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
PPOPP
2012
ACM
12 years 4 months ago
Better speedups using simpler parallel programming for graph connectivity and biconnectivity
Speedups demonstrated for finding the biconnected components of a graph: 9x to 33x on the Explicit Multi-Threading (XMT) many-core computing platform relative to the best serial ...
James A. Edwards, Uzi Vishkin