Supervised learning for parameterized Koopmans–Beckmann’s graph matching

• Published in: Pattern recognition letters Vol. 143; pp. 8 - 13
• Main Authors: Zeng, Shaofeng, Liu, Zhiyong, Yang, Xu
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.03.2021; Elsevier Science Ltd
• Subjects: Deep learning; Graph matching; Koopmans–Beckmann; Parameter estimation; Parameterization; Structured SVM; Supervised learning; Teaching methods; Koopmans–Beckmann; Supervised learning; Structured SVM; Graph matching

•Discusses a novel graph matching model, i.e., parameterized Koopmans–Beckmann’s graph matching (KBGMw).•Proposes a supervised learning method for KBGMw.•Shows the performances of the proposed method and several state-of-the-art graph matching methods.•Summarizes the advantages and disadvantages of...