Pattern recognition : introduction, features, classifiers and principles /

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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Beyerer, Jürgen (Autor), Richter, Matthias, 1948- (Autor), Nagel, Matthias (Computer scientist) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : Walter de Gruyter GmbH, [2018]
Colección:De Gruyter graduate.
Temas:
Pattern recognition systems.
Pattern Recognition, Automated
Reconnaissance des formes (Informatique)
COMPUTERS > General.
Pattern recognition systems
Mustererkennung
Automatische Klassifikation
Merkmalsextraktion
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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