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ICIP
2006
IEEE
16 years 8 months ago
New Results on Efficient Optimal Multilevel Image Thresholding
Image thresholding is one of the most common image processing operations, since almost all image processing schemes need some sort of separation of the pixels into different class...
Martin Luessi, Marco Eichmann, Guido M. Schuster, ...
CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
16 years 1 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
RTSS
1999
IEEE
15 years 10 months ago
Optimal Reward-Based Scheduling of Periodic Real-Time Tasks
Reward-based scheduling refers to the problem in which there is a reward associated with the execution of a task. In our framework, each real-time task comprises a mandatory and a...
Hakan Aydin, Rami G. Melhem, Daniel Mossé, ...
AUTOMATICA
1999
84views more  AUTOMATICA 1999»
15 years 6 months ago
Optimizing the receiver maneuvers for bearings-only tracking
This paper deals with the optimization of the observer trajectory for target motion analysis. The observations are made of estimated bearings. The problem consists in determining ...
Jean-Pierre Le Cadre, S. Laurent-Michel
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 4 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams