Subspace Methods for Pattern Recognition in Intelligent Environment: 552 (Studies in Computational Intelligence) - Tapa blanda

 
9783662501900: Subspace Methods for Pattern Recognition in Intelligent Environment: 552 (Studies in Computational Intelligence)
Tapa blanda
ISBN 10: 3662501902 ISBN 13: 9783662501900
Editorial: Springer, 2016

Sinopsis

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.

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De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3662501902
ISBN 13 
9783662501900
Encuadernación
Tapa blanda
Número de páginas
216
Editor
Chen Yen-Wei, C. Jain Lakhmi
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Alemania

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9783642548505: Subspace Methods for Pattern Recognition in Intelligent Environment: 552 (Studies in Computational Intelligence, 552)

Edición Destacada

ISBN 10:  3642548504 ISBN 13:  9783642548505
Editorial: Springer, 2014
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