Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 16,00
Quantità: 4 disponibili
Aggiungi al carrello23.5 cm x 15.5 cm, 584 g. X, 268 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advanced Information and Knowledge Processing. Sprache: Englisch.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 129,13
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 127,97
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 135,08
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 135,07
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Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 150,57
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 153,67
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers' understanding from their similarity, and differences based on data organization and problemsettings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 3030007332 ISBN 13: 9783030007331
Da: Revaluation Books, Exeter, Regno Unito
EUR 189,64
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 278 pages. 9.25x6.10x0.79 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 202,09
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer International Publishing Dez 2018, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers' understanding from their similarity, and differences based on data organization and problemsettings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision. 280 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Da: moluna, Greven, Germania
EUR 118,61
Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Broadens your understanding of multi-view data analysisExplains how to design an effective multi-view data representation modelReinforces multi-view representation principles with real-world practices.
Da: Majestic Books, Hounslow, Regno Unito
EUR 176,05
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 182,52
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: preigu, Osnabrück, Germania
EUR 123,00
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Learning Representation for Multi-View Data Analysis | Models and Applications | Zhengming Ding (u. a.) | Buch | x | Englisch | 2018 | Springer | EAN 9783030007331 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Dez 2018, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers¿ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch.