When can $l_p$-norm objective functions be minimized via graph cuts?

2 Feb 2018 Filip Malmberg Robin Strand

Techniques based on minimal graph cuts have become a standard tool for solving combinatorial optimization problems arising in image processing and computer vision applications. These techniques can be used to minimize objective functions written as the sum of a set of unary and pairwise terms, provided that the objective function is submodular... (read more)

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