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» Uncertainty Modeling for Optimal Structure from Motion
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ENTCS
2007
121views more  ENTCS 2007»
14 years 11 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
RECOMB
2004
Springer
16 years 3 days ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
BMCBI
2005
99views more  BMCBI 2005»
14 years 11 months ago
Effective ambiguity checking in biosequence analysis
Background: Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of ...
Janina Reeder, Peter Steffen, Robert Giegerich
EMSOFT
2010
Springer
14 years 9 months ago
Nucleos: a runtime system for ultra-compact wireless sensor nodes
Nucleos is a new runtime system for ultra-lightweight embedded systems. Central to Nucleos is a dispatcher based on the concept of e threaded code, which enables layers of abstrac...
Jiwon Hahn, Pai H. Chou
PE
2000
Springer
118views Optimization» more  PE 2000»
14 years 11 months ago
A probabilistic dynamic technique for the distributed generation of very large state spaces
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
William J. Knottenbelt, Peter G. Harrison, Mark Me...