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SIAMSC
2008
198views more  SIAMSC 2008»
14 years 9 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
EWSN
2010
Springer
15 years 1 months ago
Virtualising Testbeds to Support Large-Scale Reconfigurable Experimental Facilities
Experimentally driven research for wireless sensor networks is invaluable to provide benchmarking and comparison of new ideas. An increasingly common tool in support of this is a t...
Tobias Baumgartner, Ioannis Chatzigiannakis, Maick...
CVPR
2008
IEEE
15 years 3 months ago
General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy
While there is a large class of Multiple-Target Tracking (MTT) problems for which batch processing is possible and desirable, batch MTT remains relatively unexplored in comparis...
Kevin Smith, Alan Carleton, Vincent Lepetit
NIPS
2004
14 years 11 months ago
Large-Scale Prediction of Disulphide Bond Connectivity
The formation of disulphide bridges among cysteines is an important feature of protein structures. Here we develop new methods for the prediction of disulphide bond connectivity. ...
Pierre Baldi, Jianlin Cheng, Alessandro Vullo
152
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WWW
2009
ACM
15 years 10 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...