Produktbild: Subspace Methods for Pattern Recognition in Intelligent Environment

Subspace Methods for Pattern Recognition in Intelligent Environment

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 €

inkl. 7 % MwSt. zzgl. Versandkosten

Studies in Computational Intelligence 552

ISBN: 3662501902
ISBN 13: 9783662501900
Herausgeber: Yen-Wei Chen/Lakhmi C Jain
Verlag: Springer Verlag GmbH
Umfang: xvi, 199 S., 47 s/w Illustr., 52 farbige Illustr., 199 p. 99 illus., 52 illus. in color.
Erscheinungsdatum: 03.09.2016
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.

Artikelnummer: 9807993 Kategorie:

Beschreibung

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …