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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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樓主: Capricious
51#
發(fā)表于 2025-3-30 09:51:10 | 只看該作者
52#
發(fā)表于 2025-3-30 13:18:57 | 只看該作者
https://doi.org/10.1007/3-540-62909-2Computer-Vision; Deformierbare Modelle; Energieminimierung; computer vision; deformable models; energy mi
53#
發(fā)表于 2025-3-30 19:47:16 | 只看該作者
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.
54#
發(fā)表于 2025-3-30 21:55:50 | 只看該作者
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.
55#
發(fā)表于 2025-3-31 04:30:43 | 只看該作者
978-3-540-62909-2Springer-Verlag Berlin Heidelberg 1997
56#
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57#
發(fā)表于 2025-3-31 10:54:27 | 只看該作者
58#
發(fā)表于 2025-3-31 16:55:13 | 只看該作者
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
59#
發(fā)表于 2025-3-31 18:08:59 | 只看該作者
60#
發(fā)表于 2025-3-31 22:12:06 | 只看該作者
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