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Subspace methods for pattern recognition in intelligent environment. Studies in computational intelligence.
Language: English
Published by Heidelberg, Springer, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Softcover. 198 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. L07711 9783642548505 Sprache: Englisch Gewicht in Gramm: 530.
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Condition: New. pp. 215 Softcover reprint of the original 1st ed. 2014 edition NO-PA16APR2015-KAP.
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Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 134.29
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US$ 131.49
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Subspace Methods for Pattern Recognition in Intelligent Environment
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 134.28
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Condition: New. pp. 216.
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Add to basketHardcover. Condition: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer Berlin Heidelberg, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Taschenbuch. Condition: 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.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Buch. Condition: 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.
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Add to basketPaperback. Condition: Brand New. reprint edition. 216 pages. 9.25x6.10x0.46 inches. In Stock.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketHardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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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Condition: As New. Unread book in perfect condition.
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Subspace Methods of Pattern Recognition (Electronic & Electrical Engineering Research Studies)
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. *Price HAS BEEN REDUCED by 10% until Monday, June 1 (weekend SALE item)* 187 pp., hardcover, light wear to covers else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Photos available upon request.
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Add to basketPaperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
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Add to basketCondition: New. Print on Demand pp. 216 99 Illus. (52 Col.).
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Add to basketCondition: New. Print on Demand pp. 215.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer Berlin Heidelberg, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
US$ 110.81
US$ 57.12 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
US$ 110.81
US$ 57.12 shipping
Ships from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: 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 Rela.
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Condition: New. PRINT ON DEMAND pp. 215.
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Condition: New. PRINT ON DEMAND pp. 216.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Language: English
Published by Springer, Springer Sep 2016, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
