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» Algorithms for Challenging Motif Problems
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ECCV
2006
Springer
16 years 4 months ago
Comparison of Energy Minimization Algorithms for Highly Connected Graphs
Algorithms for discrete energy minimization play a fundamental role for low-level vision. Known techniques include graph cuts, belief propagation (BP) and recently introduced tree-...
Vladimir Kolmogorov, Carsten Rother
132
Voted
ICIP
2003
IEEE
16 years 4 months ago
An adaptive multigrid algorithm for region of interest diffuse optical tomography
Dueto diffuse nature of lightphotons, Diffuse Optical Tomography (DOT) image reconstruction is a challenging 3D problem with a relatively large number of unknowns and limited meas...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
106
Voted
CEC
2005
IEEE
15 years 8 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher
124
Voted
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 8 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
Salem F. Adra, Ian Griffin, Peter J. Fleming
131
Voted
FECS
2010
199views Education» more  FECS 2010»
15 years 23 days ago
Algoritharium: Facilitating an Early Focus on Algorithms in an Objects-Early CS1 Course
Introducing large-scale problems early in the CS1 course has been shown to be an effective way to teach algorithmic concepts. Adopting this approach in a CS1 course taught in Java,...
Sridhar Narayan, Jack Tompkins, Gene A. Tagliarini