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ICCV
2011
IEEE
12 years 10 months ago
Optimizing Polynomial Solvers for Minimal Geometry Problems
In recent years polynomial solvers based on algebraic geometry techniques, and specifically the action matrix method, have become popular for solving minimal problems in computer...
Oleg Naroditsky, Kostas Daniilidis
SIGECOM
2004
ACM
112views ECommerce» more  SIGECOM 2004»
14 years 3 months ago
Self-interested automated mechanism design and implications for optimal combinatorial auctions
Often, an outcome must be chosen on the basis of the preferences reported by a group of agents. The key difficulty is that the agents may report their preferences insincerely to m...
Vincent Conitzer, Tuomas Sandholm
ENTCS
2007
121views more  ENTCS 2007»
13 years 10 months ago
Incremental Parametric Development of Greedy Algorithms
The event B method provides a general framework for modelling both data structures and algorithms. B models are validated by discharging proof obligations ensuring safety properti...
Dominique Cansell, Dominique Méry
MOBIHOC
2001
ACM
14 years 9 months ago
Localized algorithms in wireless ad-hoc networks: location discovery and sensor exposure
The development of practical, localized algorithms is probably the most needed and most challenging task in wireless ad-hoc sensor networks (WASNs). Localized algorithms are a spe...
Seapahn Meguerdichian, Sasha Slijepcevic, Vahag Ka...
DYNAMO
2000
74views more  DYNAMO 2000»
13 years 11 months ago
A framework for remote dynamic program optimization
Dynamic program optimization allows programs to be generated that are highly tuned for a given environment and input data set. Optimization techniques can be applied and re-applie...
Michael Voss, Rudolf Eigenmann