4679 search results - page 383 / 936 » Modeling When Connections Are the Problem |
237
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JMLR
2012
13 years 9 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
181
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WSC
2000
15 years 8 months ago
2000
Simulation models are useful to predict and understand the impact of changes to a manufacturing system. Typical factory simulation models include the parts being manufactured in t...
159
Voted
ECCV
1996
Springer
16 years 8 months ago
1996
Springer
An approach is presented for imposing generic hard constraints on deformable models at a low computational cost, while preserving the good convergence properties of snake-like mod...
193
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ECCV
2010
Springer
15 years 10 months ago
2010
Springer
Model updating is a critical problem in tracking. Inaccurate extraction of the foreground and background information in model adaptation would cause the model to drift and degrade ...
184
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PODC
2009
ACM
16 years 7 months ago
2009
ACM
Global consistency or Byzantine Agreement (BA) and reliable point-to-point communication are two of the most important and well-studied problems in distributed computing. Informal...