Graph-Based Representations in Pattern Recognition

Graph-Based Representations in Pattern Recognition

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This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2015, held in Beijing, China, in May 2015. The 36 papers presented in this volume were carefully reviewed and selected from 53 submissions. The accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation, 15 in graph matching, 7 in graph clustering and classification, and 7 in graph-based applications.It is shown that this solution has O(logn) distortion due to using HSTs both in solving the linear program and in rounding. We recently extended the original metric labeling to a complicated formulation in the domain of user association in ... Our technique extends the metric labeling formulation of Kleinberg and Tardos [13].


Title:Graph-Based Representations in Pattern Recognition
Author: Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch, Jian Cheng
Publisher:Springer - 2015-05-04
ISBN-13:

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