Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 16,00
Cantidad disponible: 4 disponibles
Añadir al carrito23.5 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 138,90
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 153,33
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 154,49
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 138,89
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 155,18
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 172,13
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2019
ISBN 10: 3030007332 ISBN 13: 9783030007331
Librería: Revaluation Books, Exeter, Reino Unido
EUR 194,82
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 278 pages. 9.25x6.10x0.79 inches. In Stock.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 203,94
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 110,26
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Dez 2018, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 139,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Librería: moluna, Greven, Alemania
EUR 118,61
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 175,19
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 177,45
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Springer, Springer Dez 2018, 2018
ISBN 10: 3030007332 ISBN 13: 9783030007331
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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 KG, Sachsenplatz 4-6, 1201 Wien 280 pp. Englisch.