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AMAI
1999
Springer
15 years 4 months ago
Maintenance scheduling problems as benchmarks for constraint algorithms
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
Daniel Frost, Rina Dechter
CVPR
2010
IEEE
16 years 4 days ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ECCV
2006
Springer
15 years 8 months ago
Trace Quotient Problems Revisited
The formulation of trace quotient is shared by many computer vision problems; however, it was conventionally approximated by an essentially different formulation of quotient trace,...
Shuicheng Yan, Xiaoou Tang
ORL
2008
63views more  ORL 2008»
15 years 4 months ago
The inequality-satisfiability problem
We define a generalized variant of the satisfiability problem (SAT) where each "clause" is an or-list of inequalities in n variables. The inequality satisfiability probl...
Dorit S. Hochbaum, Erick Moreno-Centeno
161
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PRICAI
1998
Springer
15 years 8 months ago
Dynamic Constraint Weighting for Over-Constrained Problems
Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be ac...
John Thornton, Abdul Sattar