Pattern Recognition: Introduction, Features, Classifiers and Principles (De Gruyter Textbook)

Beyerer, Jürgen, Richter, Matthias

ISBN 10: 3110537931 / ISBN 13: 9783110537932

Edité par De Gruyter Oldenbourg, 2017

A propos de cet article

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

N° de réf. du vendeur M03110537931-V

Détails bibliographiques

• Titre: Pattern Recognition: Introduction, Features, Classifiers and Principles (De Gruyter Textbook)
• Éditeur: De Gruyter Oldenbourg
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 3110537931
• ISBN à 13 chiffres: 9783110537932
• Reliure: Couverture souple
• État de l'article: very good

A propos de ce titre

Synopsis

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 systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors' point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book.

Mathematical methods explained thoroughly
Extremely practical approach with many examples
Based on over ten years lecture at Karlsruhe Institute of Technology
For students but also for practitioners

À propos de l?auteur

Jürgen Beyerer, Matthias Richter, Matthias Nagel, Fraunhofer Institute Karlsruhe, Germany.