Structural Pattern Recognition using Graph Matching
eBook - ePub

Structural Pattern Recognition using Graph Matching

Approximate and Error-Tolerant Algorithms

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Structural Pattern Recognition using Graph Matching

Approximate and Error-Tolerant Algorithms

About this book

This book presents a comprehensive exploration of structural pattern recognition with a clear understanding of graph representation and manipulation. It explains graph matching techniques, unearthing the core principles of graph similarity measures, subgraph isomorphism, and advanced algorithms tailored to various pattern recognition tasks. It bridges the gap between theory and application by providing case studies, hands-on examples, and applications. It is a reference book for academicians, researchers, and students working in the fields of structural pattern recognition, computer vision, artificial intelligence, and data science.

• Begins with the fundamentals of graph theory, graph matching algorithms, and structural pattern recognition concepts and explains the principles, methodologies, and practical implementations

• Presents relevant case studies and hands-on examples across chapters to guide making informed decisions by graph matching

• Discusses various graph-matching algorithms, including exact and approximate methods, geometric methods, spectral techniques, graph kernels, and graph neural networks, including practical examples to illustrate the strengths and limitations of each approach

• Showcases the versatility of graph matching in real-world applications, such as image analysis, biological molecule identification, object recognition, social network clustering, and recommendation systems

• Describes deep learning models for graph matching, including graph convolutional networks (GCNs) and graph neural networks (GNNs)

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Yes, you can access Structural Pattern Recognition using Graph Matching by Shri Prakash Dwivedi,Ravi Shankar Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Preface
  10. Author Biography
  11. Symbol Description
  12. 1 Introduction
  13. 2 Structural Pattern Recognition
  14. 3 Graph Matching Algorithms: A Survey
  15. 4 Graph Matching using Extensions to Graph Edit Distance
  16. 5 Graph Matching using Centrality Measures
  17. 6 Geometric Graph Matching
  18. 7 Graph Kernels and Embedding
  19. 8 Graph Matching in Image Analysis
  20. 9 Graph Matching in Social Network Analysis
  21. 10 Recent Advances and Future Directions
  22. 11 Appendix: Graph Matching Tools
  23. Bibliography
  24. Index