Graph-Based Representations in Pattern Recognition: 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025, Proceedings: 15727 (Lecture Notes in Computer Science) - Softcover

9783031941382: Graph-Based Representations in Pattern Recognition: 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025, Proceedings: 15727 (Lecture Notes in Computer Science)

Softcover

ISBN 10: 3031941381 ISBN 13: 9783031941382

Verlag: Springer-Verlag GmbH, 2025

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.

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VerlagSpringer-Verlag GmbH
Erscheinungsdatum2025
ISBN 10 3031941381
ISBN 13 9783031941382
EinbandTapa blanda
SpracheEnglisch
Anzahl der Seiten292
HerausgeberBrun Luc, Ga�z�re Beno�t, Bougleux S�bastien, Carletti Vincenzo
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Graph-Based Representations in Pattern Recognition : 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025, Proceedings

Luc Brun

Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2025

ISBN 10: 3031941381 ISBN 13: 9783031941382

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783031941382

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