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» A Genetic Algorithm Applied to the Maximum Flow Problem
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CVPR
1997
IEEE
16 years 4 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
15 years 6 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
101
Voted
AAAI
1998
15 years 3 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
15 years 8 months 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
126
Voted
ICCS
1993
Springer
15 years 6 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