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Pattern Recognition: Introduction, Features, Classifiers and Principles (De Gruyter Textbook) - Softcover
Synopsis
This book describes in detail mathematical methods, which lead to suitable characteristics for pattern recognition. It deals with various classifiers and classification methods. Emphasis is on the performance of classifiers and the processing chain: problem-pattern-feature classifier. Parameter estimation, classification on the basis of qualitative characteristics, overfitting and other features are discussed.
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About the Author
Jürgen Beyerer, Matthias Richter, Matthias Nagel, Fraunhofer Institute Karlsruhe, Germany.
"About this title" may belong to another edition of this title.
- PublisherDe Gruyter Oldenbourg
- Publication date2017
- ISBN 10 3110537931
- ISBN 13 9783110537932
- BindingPerfect Paperback
- LanguageEnglish
- Edition number1
- Number of pages311
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Pattern Recognition: Introduction, Features, Classifiers and Principles (De Gruyter Textbook)
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