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Pattern Recognition

Concepts, Methods and Applications

  • Textbook
  • © 2001

Overview

Authors:
  1. Joaquim P. Marques de Sá

    1. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

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  • Unifying approach describing all relevant and recent methods Real-life problems in engineering, medicine, economy, geology solved in detail
  • Guidance how to design PR systems and use software tools in practical applications
  • Mathematics made easy
  • CD-ROM with solved exercises and important software tools
  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xix
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  2. Basic Notions

    • Joaquim P. Marques de Sá
    Pages 1-20

  3. Pattern Discrimination

    • Joaquim P. Marques de Sá
    Pages 21-51

  4. Data Clustering

    • Joaquim P. Marques de Sá
    Pages 53-78

  5. Statistical Classification

    • Joaquim P. Marques de Sá
    Pages 79-145

  6. Neural Networks

    • Joaquim P. Marques de Sá
    Pages 147-242

  7. Structural Pattern Recognition

    • Joaquim P. Marques de Sá
    Pages 243-289

  8. Back Matter

    Pages 291-318
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Keywords

About this book

Pattern recognition currently comprises a vast body of methods supporting the development of numerous applications in many different areas of activity. The generally recognized relevance of pattern recognition methods and techniques lies, for the most part, in the general trend of "intelligent" task emulation, which has definitely pervaded our daily life. Robot assisted manufacture, medical diagnostic systems, forecast of economic variables, exploration of Earth's resources, and analysis of satellite data are just a few examples of activity fields where this trend applies. The pervasiveness of pattern recognition has boosted the number of task­ specific methodologies and enriched the number of links with other disciplines. As counterbalance to this dispersive tendency there have been, more recently, new theoretical developments that are bridging together many of the classical pattern recognition methods and presenting a new perspective of their links and inner workings. This book has its origin in an introductory course on pattern recognition taught at the Electrical and Computer Engineering Department, Oporto University. From the initial core of this course, the book grew with the intent of presenting a comprehensive and articulated view of pattern recognition methods combined with the intent of clarifying practical issues with the aid of examples and applications to real-life data. The book is primarily addressed to undergraduate and graduate students attending pattern recognition courses of engineering and computer science curricula.

Reviews

From the reviews of the first edition:

"The book gives an overview about the wide field of pattern recognition. … The book is primarily addressed to undergraduate and graduate students of engineering and computer science courses. It gives a good introduction into the field of clustering and pattern recognition." (Hans-Peter Altenburg, Zentralblatt MATH, Vol. 1009, 2003)

"‘Patern Recognition’ presents methods and techniques that are suitable for practical application in areas including robot assisted manufacture, medical diagnostic systems, forecast of economic variables, exploration of Earth’s resources, and satellite data analysis. … This book provides comprehensive, non-specialist coverage of pattern recognition. Although primarily aimed at undergraduate and graduate engineering and computer science students, its clear and practical coverage also makes it suitable for physicians, biologists, geologists and economists." (Assembly Automation, Vol. 22 (4), 2002)

Authors and Affiliations

  • Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Joaquim P. Marques de Sá

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: Concepts, Methods and Applications

  • Authors: Joaquim P. Marques de Sá

  • DOI: https://doi.org/10.1007/978-3-642-56651-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Hardcover ISBN: 978-3-540-42297-6Due: 14 August 2001

  • Softcover ISBN: 978-3-642-62677-7Published: 05 December 2012

  • eBook ISBN: 978-3-642-56651-6Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XIX, 318

  • Number of Illustrations: 195 b/w illustrations, 3 illustrations in colour

  • Topics: Pattern Recognition, Signal, Image and Speech Processing, Image Processing and Computer Vision, Imaging / Radiology

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