Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, ...
The capability to provide a platform for flexible business services in the Air Traffic Management (ATM) domain is both a major success factor for the ATM industry and a challenge ...
Thomas Moser, Richard Mordinyi, Alexander Mikula, ...
Managing the power consumption of computing platforms is a complicated problem thanks to a multitude of hardware configuration options and characteristics. Much of the academic r...
David C. Snowdon, Etienne Le Sueur, Stefan M. Pett...
Transaction-level modeling has been touted to improve simulation performance and modeling efficiency for early design space exploration. But no tools are available to generate suc...
Dongwan Shin, Andreas Gerstlauer, Junyu Peng, Rain...