Pattern Recognition : : Introduction, Features, Classifiers and Principles /

Pattern Recognition : : Introduction, Features, Classifiers and Principles / / Jürgen Beyerer, Matthias Richter, Matthias Nagel.

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The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systemati...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2017
VerfasserIn:
Beyerer, Jürgen,
Nagel, Matthias,
Richter, Matthias,
MitwirkendeR:
Beyerer, Jürgen,
Nagel, Matthias,
Richter, Matthias,
Place / Publishing House:München ;, Wien : : De Gruyter Oldenbourg, , [2017]
©2018
Year of Publication:2017
Language:English
Series:De Gruyter Textbook
Online Access:
Physical Description:1 online resource (XXVIII, 283 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • List of Tables
  • List of Figures
  • Notation
  • Introduction
  • 1. Fundamentals and definitions
  • 2. Features
  • 3. Bayesian decision theory
  • 4. Parameter estimation
  • 5. Parameter free methods
  • 6. General considerations
  • 7. Special classifiers
  • 8. Classification with nominal features
  • 9. Classifier-independent concepts
  • A. Solutions to the exercises
  • B. A primer on Lie theory
  • C. Random processes
  • Bibliography
  • Glossary
  • Index

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