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» Robust Satisfaction
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CPAIOR
2004
Springer
14 years 26 days ago
Super Solutions in Constraint Programming
To improve solution robustness, we introduce the concept of super solutions to constraint programming. An (a, b)-super solution is one in which if a variables lose their values, th...
Emmanuel Hebrard, Brahim Hnich, Toby Walsh
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
13 years 7 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...
ICARCV
2002
IEEE
121views Robotics» more  ICARCV 2002»
14 years 12 days ago
CIRES: a system for content-based retrieval in digital image libraries
This papers presents CIRES, a new online system for content-based retrieval in digital image libraries. Contentbased image retrieval systems have traditionally used color and text...
Qasim Iqbal, Jake K. Aggarwal
PPDP
2010
Springer
13 years 5 months ago
A declarative approach to robust weighted Max-SAT
The presence of uncertainty in the real world makes robustness to be a desired property of solutions to constraint satisfaction problems. Roughly speaking, a solution is robust if...
Miquel Bofill, Dídac Busquets, Mateu Villar...
FLAIRS
2006
13 years 8 months ago
Full Restart Speeds Learning
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...
Smiljana Petrovic, Susan L. Epstein