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» Inapproximability of Combinatorial Optimization Problems
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MVA
2002
175views Computer Vision» more  MVA 2002»
13 years 10 months ago
Augmented geophysical data interpretation through automated velocity picking in semblance velocity images
Velocity Picking is the problem of picking velocity-time pairs based on a coherence metric between multiple seismic signals. Coherence as a function of velocity and time can be ex...
J. Ross Beveridge, Charlie Ross, L. Darrell Whitle...
INFOCOM
2009
IEEE
14 years 5 months ago
Graceful Network Operations
—A significant fraction of network events (such as topology or route changes) and the resulting performance degradation stem from premeditated network management and operational...
Saqib Raza, Yuanchen Zhu, Chen-Nee Chuah
ATAL
2009
Springer
14 years 5 months ago
Adaptive price update in distributed Lagrangian relaxation protocol
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
Katsutoshi Hirayama, Toshihiro Matsui, Makoto Yoko...
CVPR
2012
IEEE
12 years 1 months ago
On multiple foreground cosegmentation
In this paper, we address a challenging image segmentation problem called multiple foreground cosegmentation (MFC), which concerns a realistic scenario in general Webuser photo se...
Gunhee Kim, Eric P. Xing
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 4 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont