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Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; International Worksh Marcello Pelillo,Edwin R. Hancock Conference p

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https://doi.org/10.1007/3-540-62909-2Computer-Vision; Deformierbare Modelle; Energieminimierung; computer vision; deformable models; energy mi
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https://doi.org/10.1007/978-3-476-03105-1—is introduced to bring deterministic annealing and relaxation labeling into accord. Self annealing results in an emergent linear schedule for winner-take-all and assignment problems. Also, the relaxation labeling algorithm can be seen as an approximation to the self annealing algorithm for matching and labeling problems.
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Self annealing: Unifying deterministic annealing and relaxation labeling,—is introduced to bring deterministic annealing and relaxation labeling into accord. Self annealing results in an emergent linear schedule for winner-take-all and assignment problems. Also, the relaxation labeling algorithm can be seen as an approximation to the self annealing algorithm for matching and labeling problems.
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978-3-540-62909-2Springer-Verlag Berlin Heidelberg 1997
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https://doi.org/10.1007/978-3-658-26201-3idually unreliable as processing units, they can nevertheless be extremely reliable as moderate-sized groups. We base our analysis on a dynamic analog model of computation in which the primary visual cortex stores visual contour information in the form of a very large number of small tightly interco
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