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Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Jean-Michel Jolion
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Graph Based Representations In Pattern Recognition written by Jean-Michel Jolion and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


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


Graph Based Representations In Pattern Recognition
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Author : Xiaoyi Jiang
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-10

Graph Based Representations In Pattern Recognition written by Xiaoyi Jiang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-10 with Computers categories.


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.



Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Andrea Torsello
language : en
Publisher:
Release Date : 2009

Graph Based Representations In Pattern Recognition written by Andrea Torsello and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.




Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Luc Brun
language : en
Publisher: Springer
Release Date : 2005-03-10

Graph Based Representations In Pattern Recognition written by Luc Brun and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-10 with Computers categories.


Many vision problems have to deal with di?erent entities (regions, lines, line junctions, etc.) and their relationships. These entities together with their re- tionships may be encoded using graphs or hypergraphs. The structural inf- mation encoded by graphs allows computer vision algorithms to address both the features of the di?erent entities and the structural or topological relati- ships between them. Moreover, turning a computer vision problem into a graph problem allows one to access the full arsenal of graph algorithms developed in computer science. The Technical Committee (TC15, http://www.iapr.org/tcs.html) of the IAPR (International Association for Pattern Recognition) has been funded in order to federate and to encourage research work in these ?elds. Among its - tivities, TC15 encourages the organization of special graph sessions at many computer vision conferences and organizes the biennial workshop GbR. While being designed within a speci?c framework, the graph algorithms developed for computer vision and pattern recognition tasks often share constraints and goals with those developed in other research ?elds such as data mining, robotics and discrete geometry. The TC15 community is thus not closed in its research ?elds but on the contrary is open to interchanges with other groups/communities.



Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Cheng-Lin Liu
language : en
Publisher: Springer
Release Date : 2015-05-04

Graph Based Representations In Pattern Recognition written by Cheng-Lin Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-04 with Computers categories.


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.



Structural Syntactic And Statistical Pattern Recognition


Structural Syntactic And Statistical Pattern Recognition
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Author : Niels da Vitoria Lobo
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-24

Structural Syntactic And Statistical Pattern Recognition written by Niels da Vitoria Lobo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-24 with Computers categories.


This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th International Conference of Pattern Recognition, ICPR 2008. The 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.



Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Edwin Hancock
language : en
Publisher: Springer
Release Date : 2003-01-01

Graph Based Representations In Pattern Recognition written by Edwin Hancock and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with Computers categories.


The refereed proceedings of the 4th IAPR International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2003, held in York, UK in June/July 2003. The 23 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on data structures and representation, segmentation, graph edit distance, graph matching, matrix methods, and graph clustering.



Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Luc Brun
language : en
Publisher: Springer Nature
Release Date : 2025-06-07

Graph Based Representations In Pattern Recognition written by Luc Brun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-07 with Computers categories.


This book constitutes the refereed proceedings of the 14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2025, held in Caen, France, in June 2025. The 25 full papers presented here were carefully reviewed and selected from 33 submissions. They are organized as per the following topical sections: Cybersecurity based on Graph models; Graph based bioinformatics; Graph similarities and graph patterns; GNN: shortcomings and solutions; Graph learning and computer vision.



Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Walter Kropatsch
language : en
Publisher: Springer
Release Date : 2013-12-06

Graph Based Representations In Pattern Recognition written by Walter Kropatsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-06 with Computers categories.


This book constitutes the refereed proceedings of the 9th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2013, held in Vienna, Austria, in May 2013. The 24 papers presented in this volume were carefully reviewed and selected from 27 submissions. They are organized in topical sections named: finding subregions in graphs; graph matching; classification; graph kernels; properties of graphs; topology; graph representations, segmentation and shape; and search in graphs.



Graph Based Representations In Pattern Recognition


Graph Based Representations In Pattern Recognition
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Author : Pasquale Foggia
language : en
Publisher: Springer
Release Date : 2017-05-08

Graph Based Representations In Pattern Recognition written by Pasquale Foggia and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-08 with Computers categories.


This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2017, held in Anacapri, Italy, in May 2017. The 25 full papers and 2 abstracts of invited papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.