Pattern Recognition : : Introduction, Features, Classifiers and Principles / / Jürgen Beyerer, Matthias Richter, Matthias Nagel.
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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Superior document: | Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2017 |
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Place / Publishing House: | München ;, Wien : : De Gruyter Oldenbourg, , [2017] ©2018 |
Year of Publication: | 2017 |
Language: | English |
Series: | De Gruyter Textbook
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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