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Graph-Based Representations in Pattern Recognition

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Cover of 'Graph-Based Representations in Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Experimental Evaluation of Subgraph Isomorphism Solvers
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    Chapter 2 GEDLIB: A C++ Library for Graph Edit Distance Computation
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    Chapter 3 Learning the Graph Edit Costs: What Do We Want to Optimise?
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    Chapter 4 Sub-optimal Graph Matching by Node-to-Node Assignment Classification
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    Chapter 5 Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents
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    Chapter 6 Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer’s Disease Analysis
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    Chapter 7 Solving the Graph Edit Distance Problem with Variable Partitioning Local Search
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    Chapter 8 A Database and Evaluation for Classification of RNA Molecules Using Graph Methods
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    Chapter 9 Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models
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    Chapter 10 Generalized Median Graph via Iterative Alternate Minimizations
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    Chapter 11 An Hypergraph Data Model for Expert Finding in Multimedia Social Networks
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    Chapter 12 On-Line Learning the Edit Costs Based on an Embedded Model
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    Chapter 13 Congratulations! Dual Graphs Are Now Orientated!
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    Chapter 14 A Parallel Algorithm for Subgraph Isomorphism
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    Chapter 15 Local Binary Pattern Based Graph Construction for Hyperspectral Image Segmentation
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    Chapter 16 A Parallel MCMC Algorithm for the Balanced Graph Coloring Problem
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    Chapter 17 An Attributed Graph Embedding Method Using the Tree-Index Algorithm
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    Chapter 18 A Graph-Theoretic Framework for Summarizing First-Person Videos
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    Chapter 19 Network Time Series Analysis Using Transfer Entropy
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    Chapter 20 Reconstructing Objects from Noisy Images at Low Resolution
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    Chapter 21 Network Embedding by Walking on the Line Graph
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    Chapter 22 Discriminant Manifold Learning with Graph Convolution Based Regression for Image Classification
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    Chapter 23 Graph-Based Representations for Supporting Genome Data Analysis and Visualization: Opportunities and Challenges
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Mentioned by

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1 Wikipedia page

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97 Mendeley
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Title
Graph-Based Representations in Pattern Recognition
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-20081-7
ISBNs
978-3-03-020080-0, 978-3-03-020081-7
Editors

Conte, Donatello, Ramel, Jean-Yves, Foggia, Pasquale

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 2%
Unknown 95 98%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Computer Science 1 1%
Engineering 1 1%
Unknown 94 97%

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