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ECAI
2010
Springer
15 years 3 months ago
On Computing Backbones of Propositional Theories
Backbones of propositional theories are literals that are true in every model. Backbones have been used for characterizing the hardness of decision and optimization problems. Moreo...
João Marques-Silva, Mikolás Janota, ...
ICCV
2009
IEEE
16 years 11 months ago
Extending Continuous Cuts: Anisotropic Metrics and Expansion Moves
The concept of graph cuts is by now a standard method for all sorts of low level vision problems. Its popularity is largely due to the fact that globally or near globally optimal...
Carl Olsson, Martin Byr¨od, Niels Chr. Overgaard,...
ICIP
2003
IEEE
16 years 7 months ago
Sensing lena-massively distributed compression of sensor images
We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their me...
Sergio D. Servetto
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 9 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
CODES
2004
IEEE
15 years 10 months ago
Dynamic overlay of scratchpad memory for energy minimization
The memory subsystem accounts for a significant portion of the aggregate energy budget of contemporary embedded systems. Moreover, there exists a large potential for optimizing th...
Manish Verma, Lars Wehmeyer, Peter Marwedel