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Graph-Based Representation s in Pattern Recognition - 9783030200800
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Graph-Based Representations in Pattern Recognition
- ISBN
- 9783030200800
- Publication Name
- Graph-Based Representations in Pattern Recognition: 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19-21, 2019, Proceedings
- Publisher
- Springer Nature Switzerland A&G
- Subject
- Computer Science, Mathematics
- Series
- Lecture Notes in Computer Science
- Publication Year
- 2019
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Item Height
- 235 mm
- Item Width
- 155 mm
- Item Weight
- 403 g
- Number of Pages
- 247 Pages
About this product
Product Information
This book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern Recognition, GbRPR 2019, held in Tours, France, in June 2019. The 22 full papers included in this volume together with an invited talk were carefully reviewed and selected from 28 submissions. The papers discuss research results and applications at the intersection of pattern recognition, image analysis, and graph theory. They cover topics such as graph edit distance, graph matching, machine learning for graph problems, network and graph embedding, spectral graph problems, and parallel algorithms for graph problems.
Product Identifiers
Publisher
Springer Nature Switzerland A&G
ISBN-13
9783030200800
eBay Product ID (ePID)
7046653304
Product Key Features
Series
Lecture Notes in Computer Science
Publication Name
Graph-Based Representations in Pattern Recognition: 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19-21, 2019, Proceedings
Format
Paperback
Language
English
Subject
Computer Science, Mathematics
Publication Year
2019
Type
Textbook
Number of Pages
247 Pages
Dimensions
Item Height
235 mm
Item Width
155 mm
Item Weight
403 g
Volume
11510
Additional Product Features
Country/Region of Manufacture
Switzerland
Editor
Pasquale Foggia, Jean-Yves Ramel, Donatello Conte
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 976952259
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