Visual Attributes - Couverture souple

Livre 61 sur 86: Advances in Computer Vision and Pattern Recognition

Couverture souple

ISBN 10 : 3319843117 ISBN 13 : 9783319843117

Editeur : Springer, 2018

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This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

Dr. Rogerio Schmidt Feris is a manager at IBM T.J. Watson Research Center, New York, USA, where he leads research in computer vision and machine learning.

Dr. Christoph H. Lampert is a professor at the Institute of Science and Technology Austria, where he serves as the Principal Investigator of the Computer Vision and Machine Learning Group.

Dr. Devi Parikh is an assistant professor in the School of Interactive Computing at Georgia Tech, USA, where she leads the Computer Vision Lab.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319843117
ISBN 13: 9783319843117
Reliure: Broch�
Nombre de pages: 372
�diteur: Feris Rogerio Schmidt, Lampert Christoph, Parikh Devi
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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Visual Attributes

Rogerio Schmidt Feris

Edit� par Springer International Publishing Jul 2018, 2018

ISBN 10 : 3319843117 ISBN 13 : 9783319843117

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications. 372 pp. Englisch. N� de r�f. du vendeur 9783319843117

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Visual Attributes

Feris, Rogerio Schmidt|Lampert, Christoph|Parikh, Devi

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319843117 ISBN 13 : 9783319843117

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first book to introduce the topic of visual attributes, and cover emerging concepts such as zero-shot learningCovers theoretical aspects of visual attribute learning, as well as practical computer vision applicationsIncludes cont. N� de r�f. du vendeur 458624634

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Visual Attributes

Rogerio Schmidt Feris (u. a.)

Edit� par Springer Nature Switzerland, 2018

ISBN 10 : 3319843117 ISBN 13 : 9783319843117

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Visual Attributes

Rogerio Schmidt Feris

Edit� par Springer International Publishing, Springer Nature Switzerland Jul 2018, 2018

ISBN 10 : 3319843117 ISBN 13 : 9783319843117

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Taschenbuch. Etat : Neu. Neuware -This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. N� de r�f. du vendeur 9783319843117

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Visual Attributes

Rogerio Schmidt Feris

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319843117 ISBN 13 : 9783319843117

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications. N� de r�f. du vendeur 9783319843117

Contacter le vendeur