43264 search results - page 286 / 8653 » Comparing models of computation |
169
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ICPADS
1994
IEEE
15 years 8 months ago
1994
IEEE
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
148
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CVPR
2000
IEEE
16 years 6 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
122
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ICASSP
2007
IEEE
15 years 10 months ago
2007
IEEE
There are currently a large number of ‘‘orphan’’ G-protein-coupled receptors (GPCRs) whose endogenous ligands (peptide hormones) are unknown. Identification of these pepti...
171
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
139
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FOCS
2004
IEEE
15 years 7 months ago
2004
IEEE
The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quali...