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» Function Optimization with Coevolutionary Algorithms
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CVPR
2009
IEEE
16 years 1 days ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
119
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SIAMIS
2010
171views more  SIAMIS 2010»
14 years 8 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...
PERCOM
2007
ACM
16 years 1 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
SIGMOD
2010
ACM
364views Database» more  SIGMOD 2010»
15 years 6 months ago
Optimizing schema-last tuple-store queries in graphd
Current relational databases require that a database schema exist prior to data entry and require manual optimization for best performance. We describe the query optimization tech...
Scott M. Meyer, Jutta Degener, John Giannandrea, B...
ICAI
2003
15 years 3 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang