Articles liés à Learning Representation for Multi-view Data Analysis
- ÉditeurSpringer Nature Switzerland AG
- Date d'édition2018
- ISBN 10 3030007332
- ISBN 13 9783030007331
- ReliureRelié
- Langueanglais
- Nombre de pages268
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Learning Representation for Multi-View Data Analysis. Models and Applications.
Edité par
Cham, Springer., 2018
ISBN 10 : 3030007332
ISBN 13 : 9783030007331
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Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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23.5 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. N° de réf. du vendeur 8988JB
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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Etat : New. N° de réf. du vendeur ABLIING23Mar3113020002471
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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783030007331_new
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Learning Representation for Multi-View Data Analysis
Edité par
Springer International Publishing Dez 2018, 2018
ISBN 10 : 3030007332
ISBN 13 : 9783030007331
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : 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. N° de réf. du vendeur 9783030007331
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Learning Representation for Multi-View Data Analysis
Edité par
Springer International Publishing, 2018
ISBN 10 : 3030007332
ISBN 13 : 9783030007331
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Etat : 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. N° de réf. du vendeur 238283516
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Learning Representation for Multi-View Data Analysis : Models and Applications
Edité par
Springer International Publishing, 2018
ISBN 10 : 3030007332
ISBN 13 : 9783030007331
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : 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. N° de réf. du vendeur 9783030007331
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Learning Representation for Multi-view Data Analysis
Edité par
Springer-Verlag New York Inc, 2019
ISBN 10 : 3030007332
ISBN 13 : 9783030007331
Neuf
Couverture rigide
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 278 pages. 9.25x6.10x0.79 inches. In Stock. N° de réf. du vendeur x-3030007332
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Learning Representation for Multi-View Data Analysis: Models and Applications (Advanced Information and Knowledge Processing)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Hardcover. Etat : New. New. book. N° de réf. du vendeur ERICA77330300073326
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