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Graph-Based Representation
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eBay item number:395362146432
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
- ISBN-13
- 9783031427947
- Book Title
- Graph-Based Representations in Pattern Recognition
- ISBN
- 9783031427947
- Publication Year
- 2023
- Series
- Lecture Notes in Computer Science Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri Sul Mare, Italy, September 6-8, 2023, Proceedings
- Item Length
- 9.3in
- Publisher
- Springer
- Item Width
- 6.1in
- Item Weight
- 11.1 Oz
- Number of Pages
- Xvi, 184 Pages
About this product
Product Information
This book constitutes the refereed proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2023, which took place in Vietri sul Mare, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections on graph kernels and graph algorithms; graph neural networks; and graph-based representations and applications.
Product Identifiers
Publisher
Springer
ISBN-10
3031427947
ISBN-13
9783031427947
eBay Product ID (ePID)
20062043041
Product Key Features
Publication Name
Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri Sul Mare, Italy, September 6-8, 2023, Proceedings
Format
Trade Paperback
Language
English
Publication Year
2023
Series
Lecture Notes in Computer Science Ser.
Type
Textbook
Number of Pages
Xvi, 184 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
11.1 Oz
Additional Product Features
Series Volume Number
14121
Number of Volumes
1 Vol.
Lc Classification Number
Q337.5
Table of Content
Graph Kernels and Graph Algorithms.- Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification.- Minimum Spanning Set Selection in Graph Kernels.- Graph-based vs. Vector-based Classification: A Fair Comparison.- A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs.- Efficient Entropy-based Graph Kernel.- Graph Neural Networks.- GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network.- C2N-ABDP: Cluster-to-Node Attention-based Differentiable Pooling.- Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression.- Graph Normalizing Flows to Pre-image Free Machine Learning for Regression.- Matching-Graphs for Building Classification Ensembles.- Maximal Independent Sets for Pooling in Graph Neural Networks.- Graph-based Representations and Applications.- Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks.- Cell segmentation of in situ transcriptomics data using signed graph partitioning.- Graph-based representation for multi-image super-resolution.- Reducing the Computational Complexity of the Eccentricity Transform.- Graph-Based Deep Learning on the Swiss River Network.
Copyright Date
2023
Topic
Engineering (General), Computer Science, Computer Vision & Pattern Recognition, Discrete Mathematics
Dewey Decimal
006.4
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Technology & Engineering, Mathematics
Item description from the seller
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eBay item number:395362146432
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a***m (10)- Feedback left by buyer.
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they came in good condition and was super excited sense i’m from Alabama
a***m (10)- Feedback left by buyer.
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they came in good condition and was super excited sense i’m from Alabama
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Was scared to see all the negative reviews, but the book came in great condition, and is new as described. A very rare book to find for such an affordable rate. You would think it’s too good to be true, but this seller came through! arrived in about 2 weeks.