Pattern Recognition and String Matching

1. Front Matter

   Pages i-viii

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2. Correcting the Training Data

   • Ricardo Barandela, Eduardo Gasca, Roberto Alejo

   Pages 1-41

3. Context Free Grammars and Semantic Networks for Flexible Assembly Recognition

   • Christian Bauckhage, Gerhard Sagerer

   Pages 43-72

4. Stochastic Recognition of Occluded Objects

   • Bir Bhanu, Yingqiang Lin, Bing Tian

   Pages 73-103

5. Approximate String Matching for Angular String Elements with Applications to On-line and Off-line Handwriting Recognition

   • Sung-Hyuk Cha, Sargur N. Srihari

   Pages 105-130

6. Uniform, Fast Convergence of Arbitrarily Tight Upper and Lower Bounds on the Bayes Error

   • Dechang Chen, Michael A. Fries, YingChang Xiang

   Pages 131-134

7. Building RBF Networks for Time Series Classification by Boosting

   • Juan José Rodríguez Diez, Carlos J. Alonso González

   Pages 135-153

8. Similarity Measures and Clustering of String Patterns

   • Ana Fred

   Pages 155-193

9. Pattern Recognition for Intrusion Detection in Computer Networks

   • Giorgio Giacinto, Fabio Roli

   Pages 195-218

10. Model-Based Pattern Recognition

    • Michal Haindl

    Pages 219-254

11. Structural Pattern Recognition in Graphs

    • Lawrence Holder, Diane Cook, Jesus Gonzalez, Istvan Jonyer

    Pages 255-279

12. Deriving Pseudo-Probabilities of Correctness Given Scores (DPPS)

    • Krassimir Ianakiev, Venu Govindaraju

    Pages 281-294

13. Weighed Mean Generalized Median of Strings

    • Xiaoyi Jiang, Horst Bunke

    Pages 295-314

14. A Region-Based Algorithm for Classifier-Independent Feature Selection

    • Mineichi Kudo

    Pages 315-340

15. Inference of K-Piecewise Testable Tree Languages

    • Damián López, José Ruiz, Pedro García

    Pages 341-351

16. Mining Partially Periodic Patterns With Unknown Periods From Event Stream

    • Sheng Ma, Joseph L. Hellerstein

    Pages 353-377

17. Combination of Classifiers for Supervised Learning: A Survey

    • Sheng Ma, Chuanyi Ji

    Pages 379-410

18. Image Segmentation and Pattern Recognition: A Novel Concept, the Histogram of Connected Elements

    • Darío Maravall, Miguel Ángel Patricio

    Pages 411-463

19. Prototype Extraction for k-NN Classifiers using Median Strings

    • Carlos D. Martínez-Hinarejos, Alfons Juan, Francisco Casacuberta

    Pages 465-476

20. Cyclic String Matching: Efficient Exact and Approximate Algorithms

    • Andrés Marzal, Ramón Mollineda, Guillermo Penis, Enrique Vidal

    Pages 477-497

The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica­ tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro­ vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.

• algorithms
• classification
• clustering
• cognition
• combinatorial optimization
• computer science
• feature selection
• handwriting
• handwriting recognition
• learning
• Matching
• neural networks
• optimization
• pattern
• pattern recognition
• combinatorics

From the reviews:

"This edited volume is concerned with pattern recognition with an evident focus on string matching treated as one of the fundamentals in the area. The collection of contributed papers is a clear testimony to the recent developments and research directions. … Overall, the book is a comprehensive, well-focused and carefully organized compendium of recent developments in string-oriented pattern recognition – of high interest to researchers and practitioners in string-oriented pattern recognition." (Witold Pedryez, Mathematical Reviews, Issue 2005 b)

• University of Wisconsin — Green Bay, Green Bay, USA

  Dechang Chen

• The George Washington University, USA

  Xiuzhen Cheng

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