Fast Approximately Optimal Solutions for Single and Dynam ic MRFs Nikos Komodakis Georgios Tziritas University of Crete Computer Science Department komodtziritas csd
uocgr Nikos Paragios MAS Ecole Centrale de Paris nikosparagiosecpfr Abstract A new ef64257cient MRF optimization algorithm called Fast PD is proposed which generalizes expansion One of its main advantages is that it offers a substantial speedup over
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