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116
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CVPR
2009
IEEE
16 years 7 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
GECCO
2005
Springer
101views Optimization» more  GECCO 2005»
15 years 6 months ago
A scalable parallel genetic algorithm for x-ray spectroscopic analysis
We use a parallel multi-objective genetic algorithm to drive a search and reconstruction spectroscopic analysis of plasma gradients in inertial confinement fusion (ICF) implosion...
Kai Xu, Sushil J. Louis, Roberto C. Mancini
CAISE
2007
Springer
15 years 6 months ago
Automatic Generation of Model Translations
Abstract. The translation of information between heterogeneous representations is a long standing issue. With the large spreading of cooperative applications fostered by the advent...
Paolo Papotti, Riccardo Torlone
138
Voted
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 17 days ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
116
Voted
ICRE
1998
IEEE
15 years 4 months ago
Validating Requirements for Fault Tolerant Systems using Model Checking
Model checking is shown to be an effective tool in validating the behavior of a fault tolerant embedded spacecraft controller. The case study presented here at by judiciously abst...
Francis Schneider, Steve M. Easterbrook, John R. C...