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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 2 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
TC
2008
13 years 10 months ago
Cryptanalysis with COPACOBANA
Cryptanalysis of ciphers usually involves massive computations. The security parameters of cryptographic algorithms are commonly chosen so that attacks are infeasible with availabl...
Tim Güneysu, Timo Kasper, Martin Novotn&yacut...
CVPR
2007
IEEE
15 years 10 days ago
Efficient Sampling of Disparity Space for Fast And Accurate Matching
A simple stereo matching algorithm is proposed that visits only a small fraction of disparity space in order to find a semi-dense disparity map. It works by growing from a small s...
Jan Cech, Radim Sára
CVPR
2007
IEEE
15 years 10 days ago
Gradient Intensity: A New Mutual Information-Based Registration Method
Conventional mutual information (MI)-based registration using pixel intensities is time-consuming and ignores spatial information, which can lead to misalignment. We propose a met...
Ramtin Shams, Parastoo Sadeghi, Rodney A. Kennedy
ECCV
2002
Springer
15 years 6 days ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih