Produktbild: Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition

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106,99 €

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Intelligent Systems Reference Library 138

ISBN: 3319675877
ISBN 13: 9783319675879
Herausgeber: Urszula Stanczyk/Beata Zielosko/Lakhmi C Jain
Verlag: Springer Verlag GmbH
Umfang: xviii, 328 S., 17 s/w Illustr., 20 farbige Illustr., 328 p. 37 illus., 20 illus. in color.
Erscheinungsdatum: 27.11.2017
Auflage: 1/2018
Produktform: Gebunden/Hardback
Einband: Gebunden

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Artikelnummer: 2718213 Kategorie:

Beschreibung

Discusses recent developments and research trends in the field of feature selection and data and pattern recognition Presents theoretical approaches as well as applications  Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity  

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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