IEEE Trans Pattern Anal Mach Intell - An Extended Path Following Algorithm for Graph-Matching Problem.

Tópicos

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Resumo

The path following algorithm was proposed recently to approximately solve the matching problems on undirected graph models and exhibited a state-of-the-art performance on matching accuracy. In this paper, we extend the path following algorithm to the matching problems on directed graph models by proposing a concave relaxation for the problem. Based on the concave and convex relaxations, a series of objective functions are constructed, and the Frank-Wolfe algorithm is then utilized to minimize them. Several experiments on synthetic and real data witness the validity of the extended path following algorithm.

Resumo Limpo

path follow algorithm propos recent approxim solv match problem undirect graph model exhibit stateoftheart perform match accuraci paper extend path follow algorithm match problem direct graph model propos concav relax problem base concav convex relax seri object function construct frankwolf algorithm util minim sever experi synthet real data wit valid extend path follow algorithm

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