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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
IPSN
2004
Springer
15 years 12 months ago
Sensing uncertainty reduction using low complexity actuation
The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depe...
Aman Kansal, Eric Yuen, William J. Kaiser, Gregory...
HPDC
2007
IEEE
16 years 27 days ago
A statistical approach to risk mitigation in computational markets
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
Thomas Sandholm, Kevin Lai
CCGRID
2010
IEEE
15 years 7 months ago
A Map-Reduce System with an Alternate API for Multi-core Environments
Map-reduce framework has received a significant attention and is being used for programming both large-scale clusters and multi-core systems. While the high productivity aspect of ...
Wei Jiang, Vignesh T. Ravi, Gagan Agrawal
ICCSA
2004
Springer
15 years 12 months ago
Advanced Simulation Technique for Modeling Multiphase Fluid Flow in Porous Media
Modeling fluid flow in a porous medium is a challenging computational problem. It involves highly heterogeneous distributions of porous medium property, various fluid flow char...
Jong G. Kim, Hyoung-Woo Park