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SIAMIS
2011
14 years 12 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 9 months ago
Configuration of a genetic algorithm for multi-objective optimisation of solar gain to buildings
We report the formulation and implementation of a genetic algorithm to address multi-objective optimisation of solar gain to buildings with the goal of minimising energy consumpti...
Ralph Evins
143
Voted
GLVLSI
2003
IEEE
171views VLSI» more  GLVLSI 2003»
15 years 10 months ago
Combining wire swapping and spacing for low-power deep-submicron buses
We propose an approach for reducing the energy consumption of address buses that targets both the switching and the crosstalk components of power dissipation. The method is based ...
Enrico Macii, Massimo Poncino, Sabino Salerno
LISA
2003
15 years 6 months ago
Three Practical Ways to Improve Your Network
This paper presents three simple techniques for improving network service using relatively unknown features of many existing networks. The resulting system provides greater reliab...
Kevin Miller
164
Voted
IUI
2000
ACM
15 years 9 months ago
Mapping communicative goals into conceptual tasks to generate graphics in discourse
We address the problem of realizing communicative plans in graphics. Our approach calls for mapping communicative goals to conceptual tasks and then using task-based graphic desig...
Stephan M. Kerpedjiev, Steven F. Roth