Graph Based Representations In Pattern Recognition
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Graph Based Representations in Pattern Recognition
Author: Jean-Michel Jolion
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to interpretation. The 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation.
Graph-Based Representations in Pattern Recognition
Author: Xiaoyi Jiang
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-05-10
This book constitutes the refereed proceedings of the 8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2011, held in Münster, Germany, in May 2011. The 34 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on graph-based representation and characterization, graph matching, classification, and querying, graph-based learning, graph-based segmentation, and applications.