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CP
2008
Springer
14 years 11 months ago
Exploiting Decomposition in Constraint Optimization Problems
Decomposition is a powerful technique for reducing the size of a backtracking search tree. However, when solving constraint optimization problems (COP's) the standard techniqu...
Matthew Kitching, Fahiem Bacchus
IJCAI
2007
14 years 11 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
CORR
2008
Springer
96views Education» more  CORR 2008»
14 years 10 months ago
Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion Constraints
We consider multiple description (MD) coding for the Gaussian source with K descriptions under the symmetric meansquared error (MSE) distortion constraints, and provide an approxim...
Chao Tian, Soheil Mohajer, Suhas N. Diggavi
TON
2010
192views more  TON 2010»
14 years 4 months ago
Delay analysis for wireless networks with single hop traffic and general interference constraints
We consider a class of wireless networks with general interference constraints on the set of links that can be served simultaneously at any given time. We restrict the traffic to b...
Gagan Raj Gupta, Ness B. Shroff
CVPR
2007
IEEE
15 years 12 months ago
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
Benjamin Laxton, Jongwoo Lim, David J. Kriegman