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142
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CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
14 years 10 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...
147
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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
15 years 4 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
142
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JDCTA
2010
135views more  JDCTA 2010»
14 years 10 months ago
Signal Framing Methods of Automotive Embedded Networked Control System for Bandwidth Consumption Optimization
Parameter (or variable) of automotive embedded networked control system is named as signal. In order to improve system performance and provide more remaining bandwidth for system ...
Jian Hu, Gangyan Li, Yeqiong Song
ECCV
2008
Springer
16 years 5 months ago
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles
This paper presents a new MRF optimization algorithm, which is derived from Linear Programming and manages to go beyond current state-of-the-art techniques (such as those based on ...
Nikos Komodakis, Nikos Paragios
115
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CASES
2006
ACM
15 years 9 months ago
Memory optimization by counting points in integer transformations of parametric polytopes
Memory size reduction and memory accesses optimization are crucial issues for embedded systems. In the context of affine programs, these two challenges are classically tackled by ...
Rachid Seghir, Vincent Loechner