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» A Genetic Algorithm Applied to the Maximum Flow Problem
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CVPR
1997
IEEE
14 years 9 months ago
Disparity Component Matching for Visual Correspondence
We present a method for computing dense visual correspondence based on general assumptions about scene geometry. Our algorithm does not rely on correlation, and uses a variable re...
Yuri Boykov, Olga Veksler, Ramin Zabih
DAC
2010
ACM
13 years 11 months ago
Performance yield-driven task allocation and scheduling for MPSoCs under process variation
With the ever-increasing transistor variability in CMOS technology, it is essential to integrate variation-aware performance analysis into the task allocation and scheduling proce...
Lin Huang, Qiang Xu
AAAI
1998
13 years 9 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
EVOW
2004
Springer
14 years 29 days ago
Improving Edge Recombination through Alternate Inheritance and Greedy Manner
Genetic Algorithms (GAs) are well-known heuristic algorithms and have been widely applied to solve combinatorial problems. Edge recombination is one of the famous crossovers design...
Chuan-Kang Ting
ICCS
1993
Springer
13 years 11 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson