(Ebook) Hybrid Methods in Pattern Recognition 1st Edition by H Bunke, A Kandel ISBN 9789810248321 9810248326

(Ebook) Hybrid Methods in Pattern Recognition 1st Edition by H Bunke, A Kandel ISBN 9789810248321 9810248326

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ISBN 10: 9810248326
ISBN 13: 9789810248321
Author: H Bunke, A Kandel

The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system.
Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and others. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization

(Ebook) Hybrid Methods in Pattern Recognition 1st Edition Table of contents:

1. Introduction to Pattern Recognition

• Overview of Pattern Recognition

• Challenges and Motivations for Hybrid Methods

2. Foundations of Hybrid Methods

• Basic Concepts of Hybrid Systems

• Types of Hybrid Models

• Advantages of Combining Methods

3. Neural Networks and Fuzzy Logic

• Neural Network Architectures

• Fuzzy Set Theory and Fuzzy Logic

• Integrating Neural Networks with Fuzzy Systems

4. Statistical and Structural Approaches

• Statistical Pattern Recognition

• Structural Pattern Recognition

• Hybridizing Statistical and Structural Methods

5. Evolutionary Algorithms in Pattern Recognition

• Genetic Algorithms and Evolution Strategies

• Applications in Feature Selection and Optimization

• Hybrid Evolutionary Approaches

6. Case Studies and Applications

• Image Analysis and Computer Vision

• Speech and Signal Processing

• Handwriting and Character Recognition

• Biomedical Applications

7. Implementation Issues and Tools

• Algorithm Design and Optimization

• Software Frameworks for Hybrid Methods

• Performance Evaluation

8. Future Trends and Research Directions

• Emerging Hybrid Techniques

• Challenges and Open Problems

References

Index

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Tags: H Bunke, A Kandel, Hybrid Methods, Pattern Recognition