Learning Graph Matching: Oriented to Category Modeling from Cluttered Scenes

Abstract

Although graph matching is a fundamental problem in pattern recognition, and has drawn broad interest from many fields, the problem of learning graph matching has not received much attention. In this paper, we redefine the learning of graph matching as a model learning problem. In addition to conventional training of matching parameters, our approach… (More)
DOI: 10.1109/ICCV.2013.168

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