Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
Keywords
Table of contents (10 chapters)
-
Front Matter
-
Back Matter
Authors and Affiliations
Accessibility Information
PDF accessibility summary
This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at [email protected] if you require assistance or an alternative format.
Bibliographic Information
Book Title: Ten Lectures on Statistical and Structural Pattern Recognition
Authors: Michail I. Schlesinger, Václav Hlaváč
Series Title: Computational Imaging and Vision
DOI: https://doi.org/10.1007/978-94-017-3217-8
Publisher: Springer Dordrecht
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2002
Hardcover ISBN: 978-1-4020-0642-5Published: 31 May 2002
Softcover ISBN: 978-90-481-6027-3Published: 22 September 2011
eBook ISBN: 978-94-017-3217-8Published: 09 March 2013
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XIX, 522
Number of Illustrations: 6 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Artificial Intelligence, Statistics, general, Symbolic and Algebraic Manipulation