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Subspace methods for pattern recognition in intelligent environment.
Published by Heidelberg/New York, NY/Dordrecht/London/Berlin, Springer., 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
US$ 21.53
Convert currencyUS$ 34.84 shipping from Germany to U.S.A.Quantity: 1 available
Add to basket24 cm. XVI, 198 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in computational intelligence ; Vol. 552. Sprache: Englisch.
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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. 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.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Language: English
US$ 21.53
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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US$ 116.06
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US$ 116.44
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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$ 130.43
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Condition: New.
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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$ 135.28
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US$ 131.45
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Add to basketPF. Condition: New.
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Condition: New. pp. 215.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 127.99
Convert currencyUS$ 69.69 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: 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.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 127.99
Convert currencyUS$ 69.69 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: 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.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Language: English
US$ 127.99
Convert currencyUS$ 72.55 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. 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
Published by Springer Berlin Heidelberg, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Language: English
US$ 127.99
Convert currencyUS$ 71.64 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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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US$ 175.84
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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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US$ 178.14
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Add to basketHardcover. Condition: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock.
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US$ 189.84
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Add to basketHardcover. Condition: Like New. Like New. book.
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US$ 214.79
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Add to basketPaperback. Condition: Like New. Like New. book.
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Subspace Methods for Pattern Recognition in Intelligent Environment
Published by Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 127.99
Convert currencyUS$ 26.71 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. 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
Published by Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 127.99
Convert currencyUS$ 26.71 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. 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
Published by Springer Berlin Heidelberg, 2016
ISBN 10: 3662501902 ISBN 13: 9783662501900
Language: English
US$ 110.38
Convert currencyUS$ 56.90 shipping 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
Published by Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504 ISBN 13: 9783642548505
Language: English
US$ 110.38
Convert currencyUS$ 56.90 shipping 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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US$ 167.35
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Add to basketCondition: New. Print on Demand pp. 215.
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US$ 181.94
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Add to basketCondition: New. PRINT ON DEMAND pp. 215.
