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An efficient algorithm for superresolution in medium field imaging

✍ Scribed by Andy C. Yau; N. K. Bose; Michael K. Ng

Publisher
Springer US
Year
2007
Tongue
English
Weight
724 KB
Volume
18
Category
Article
ISSN
0923-6082

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We present an efficient algorithm that, combined with a max-flow, min-cut minimization algorithm, makes it possible to find the ground states of the Gaussian Random Field Ising model when the external applied field B is continuously varied from -∞ to +∞. The algorithm exactly finds all the possible