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Synopsis
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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- ÉditeurSpringer
- Date d'édition2016
- ISBN 10 3662501902
- ISBN 13 9783662501900
- ReliureBroché
- Langueanglais
- Nombre de pages216
- ÉditeurChen Yen-Wei, C. Jain Lakhmi
- Coordonnées du fabricantnon disponible
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Subspace Methods for Pattern Recognition in Intelligent Environment
Edité par
Springer Berlin Heidelberg, 2016
ISBN 10 : 3662501902
ISBN 13 : 9783662501900
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on the theoretical foundations and applications of subspace methods for pattern recognition using intelligent techniquesActive Shape Model and Its Application to Face Alignment.-Condition Relaxati. N° de réf. du vendeur 449137201
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Subspace Methods for Pattern Recognition in Intelligent Environment
Edité par
Springer Berlin Heidelberg, 2016
ISBN 10 : 3662501902
ISBN 13 : 9783662501900
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783662501900
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Subspace Methods for Pattern Recognition in Intelligent Environment
Edité par
Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10 : 3662501902
ISBN 13 : 9783662501900
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch. N° de réf. du vendeur 9783662501900
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Subspace Methods for Pattern Recognition in Intelligent Environment
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Subspace Methods for Pattern Recognition in Intelligent Environment
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10 : 3662501902
ISBN 13 : 9783662501900
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch. N° de réf. du vendeur 9783662501900
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Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
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Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
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Paperback. Etat : Brand New. reprint edition. 216 pages. 9.25x6.10x0.46 inches. In Stock. N° de réf. du vendeur x-3662501902
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Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
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