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TIP
2010
113views more  TIP 2010»
14 years 4 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
15 years 4 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
CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
15 years 4 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
ICES
2005
Springer
176views Hardware» more  ICES 2005»
15 years 3 months ago
Consensus-Based Evaluation for Fault Isolation and On-line Evolutionary Regeneration
While the fault repair capability of Evolvable Hardware (EH) approaches have been previously demonstrated, further improvements to fault handling capability can be achieved by exp...
Kening Zhang, Ronald F. DeMara, Carthik A. Sharma
AAAI
1994
14 years 10 months ago
Just-In-Case Scheduling
This paper presents an algorithm, called JustIn-Case Scheduling, for building robust schedules that tend not to break. The algorithm implements the common sense idea of being prep...
Mark Drummond, John L. Bresina, Keith Swanson