Ten Lectures on Statistical and Structural Pattern Recognition
By: by Michail I. Schlesinger, Václav Hlaváč
Contributors: Hlaváč, Václav
Series: Computational Imaging and Vision -- 24; Computational Imaging and Vision -- 24
Publisher: Springer Netherlands
Published: 2002
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] /
Number of pages: 522
ISBN-13: 9789048160273; 9789401732178
Subjects: Data processing; Statistics; Computer science; Artificial intelligence; Algebra
Description: This monograph explores the close relationship of various well-known pattern recognition problems that have so far been considered independent. These relationships became apparent with the discovery of formal procedures for addressing known problems and their generalisations. The generalised problem formulations were analysed mathematically and unified algorithms were found. The main scientific contribution of this book is the unification of two main streams in pattern recognition - the statistical one and the structural one. The material is presented in the form of ten lectures, each of which concludes with a discussion with a student. It provides new views and numerous original results in their field. Written in an easily accessible style, it introduces the basic building blocks of pattern recognition, demonstrates the beauty and the pitfalls of scientific research, and encourages good habits in reading mathematical text.
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