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101
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ICASSP
2011
IEEE
14 years 4 months ago
A general proof of convergence for adaptive distributed beamforming schemes
This work focuses on the convergence analysis of adaptive distributed beamforming schemes that can be reformulated as local random search algorithms via a random search framework....
Chang-Ching Chen, Chia-Shiang Tseng, Che Lin
ECCV
1996
Springer
16 years 2 months ago
Stereo Without Search
Search is not inherent in the correspondence problem. We propose a representation of images, called intrinsic curves, that combines the ideas of associative storage of images with...
Carlo Tomasi, Roberto Manduchi
GECCO
2006
Springer
157views Optimization» more  GECCO 2006»
15 years 4 months ago
How randomized search heuristics find maximum cliques in planar graphs
Surprisingly, general search heuristics often solve combinatorial problems quite sufficiently, although they do not outperform specialized algorithms. Here, the behavior of simple...
Tobias Storch
120
Voted
GECCO
2006
Springer
287views Optimization» more  GECCO 2006»
15 years 4 months ago
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...
Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
107
Voted
AAAI
2006
15 years 2 months ago
Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Jinbo Huang, Mark Chavira, Adnan Darwiche