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» Two Graph Algorithms On an Associative Computing Model
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CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 3 months ago
HyperANF: Approximating the Neighbourhood Function of Very Large Graphs on a Budget
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable from x in less that t hops. The neighbourhood fun...
Paolo Boldi, Marco Rosa, Sebastiano Vigna
163
Voted
GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
15 years 9 months ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 6 months ago
The study for transportation planning considered the inventory using hybrid genetic algorithm
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
Shinichiro Ataka, Mitsuo Gen
CVPR
2008
IEEE
1042views Computer Vision» more  CVPR 2008»
16 years 7 months ago
Graph cut based image segmentation with connectivity priors
Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated obj...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother
ERSHOV
2009
Springer
15 years 9 months ago
Anti-unification Algorithms and Their Applications in Program Analysis
A term t is called a template of terms t1 and t2 iff t1 = t1 and t2 = t2, for some substitutions 1 and 2. A template t of t1 and t2 is called the most specific iff for any template...
Peter E. Bulychev, Egor V. Kostylev, Vladimir A. Z...