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» On Wiedemann's Method of Solving Sparse Linear Systems
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VISUALIZATION
2000
IEEE
14 years 1 months ago
Anisotropic geometric diffusion in surface processing
A new multiscale method in surface processing is presented here which combines the image processing methodology based on nonlinear diffusion equations and the theory of geometric ...
Ulrich Clarenz, Udo Diewald, Martin Rumpf
ICISP
2010
Springer
14 years 19 days ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
AAAI
2007
13 years 11 months ago
Optimal Multi-Agent Scheduling with Constraint Programming
We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...
AIPS
2008
13 years 11 months ago
Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression
High dimensionality of belief space in DEC-POMDPs is one of the major causes that makes the optimal joint policy computation intractable. The belief state for a given agent is a p...
Abdeslam Boularias, Brahim Chaib-draa
ASPDAC
2008
ACM
135views Hardware» more  ASPDAC 2008»
13 years 11 months ago
Temperature-aware MPSoC scheduling for reducing hot spots and gradients
Thermal hot spots and temperature gradients on the die need to be minimized to manufacture reliable systems while meeting energy and performance constraints. In this work, we solve...
Ayse Kivilcim Coskun, Tajana Simunic Rosing, Keith...