Computational Imaging and Vision

Ten Lectures on Statistical and Structural Pattern Recognition

Authors: Schlesinger, M.I., Hlavác, Václav

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About this book

Preface to the English edition This monograph Ten Lectur,es on Statistical and Structural Pattern Recognition uncovers the close relationship between various well known pattern recognition problems that have so far been considered independent. These relationships became apparent when formal procedures addressing not only known prob­ lems but also their generalisations were discovered. The generalised problem formulations were analysed mathematically and unified algorithms were found. The book unifies of two main streams ill pattern recognition-the statisti­ cal a11d structural ones. In addition to this bridging on the uppermost level, the book mentions several other unexpected relations within statistical and structural methods. The monograph is intended for experts, for students, as well as for those who want to enter the field of pattern recognition. The theory is built up from scratch with almost no assumptions about any prior knowledge of the reader. Even when rigorous mathematical language is used we make an effort to keep the text easy to comprehend. This approach makes the book suitable for students at the beginning of their scientific career. Basic building blocks are explained in a style of an accessible intellectual exercise, thus promoting good practice in reading mathematical text. The paradoxes, beauty, and pitfalls of scientific research are shown on examples from pattern recognition. Each lecture is amended by a discussion with an inquisitive student that elucidates and deepens the explanation, providing additional pointers to computational procedures and deep rooted errors.

Table of contents (10 chapters)

  • Bayesian statistical decision making

    Schlesinger, Michail I. (et al.)

    Pages 1-23

  • Non-Bayesian statistical decision making

    Schlesinger, Michail I. (et al.)

    Pages 25-71

  • Two statistical models of the recognised object

    Schlesinger, Michail I. (et al.)

    Pages 73-99

  • Learning in pattern recognition

    Schlesinger, Michail I. (et al.)

    Pages 101-136

  • Linear discriminant function

    Schlesinger, Michail I. (et al.)

    Pages 137-214

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-94-017-3217-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $99.00
price for USA
  • ISBN 978-1-4020-0642-5
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
Softcover $99.00
price for USA
  • ISBN 978-90-481-6027-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Ten Lectures on Statistical and Structural Pattern Recognition
Authors
Series Title
Computational Imaging and Vision
Series Volume
24
Copyright
2002
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
Distribution Rights
No sales rights in Czech and Russian language countries
eBook ISBN
978-94-017-3217-8
DOI
10.1007/978-94-017-3217-8
Hardcover ISBN
978-1-4020-0642-5
Softcover ISBN
978-90-481-6027-3
Series ISSN
1381-6446
Edition Number
1
Number of Pages
XIX, 522
Number of Illustrations and Tables
6 b/w illustrations
Topics