Optimization for networks and object recognition: Index coding and image analysis - Couverture souple

Vettigli, Giuseppe

9786202087551: Optimization for networks and object recognition: Index coding and image analysis

Couverture souple

ISBN 10 : 6202087552 ISBN 13 : 9786202087551

Editeur : Edizioni Accademiche Italiane, 2019

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The present book explores two different application areas of combinatorial optimization, the work presented here, indeed, is two fold, since it deals with two distinct problems, one related to data transfer in networks and the other to object recognition. Caching is an essential technique to improve throughput and latency in a vast variety of applications. The core idea is to duplicate content in memories distributed across the network, which can then be exploited to deliver requested content with less congestion and delay. Automatic object recognition has become, over the last decades, a central topic in the artificial intelligence research, with a significant burt over the last new year with the advent of the deep learning paradigm; the objective of the work discussed in the Part 2 of this book is an attempt at improving the performance of a natural images classifier introducing in the loop knowledge coming from the real world, expressed in terms of probability of a set of spatial relations between the objects in the images.

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�diteur: Edizioni Accademiche Italiane
Date d'�dition: 2019
Langue: anglais
ISBN 10: 6202087552
ISBN 13: 9786202087551
Reliure: Broch�
Nombre de pages: 132
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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Optimization for networks and object recognition

Giuseppe Vettigli

Edit� par Edizioni Accademiche Italiane Jul 2019, 2019

ISBN 10 : 6202087552 ISBN 13 : 9786202087551

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present book explores two different application areas of combinatorial optimization, the work presented here, indeed, is two fold, since it deals with two distinct problems, one related to data transfer in networks and the other to object recognition. Caching is an essential technique to improve throughput and latency in a vast variety of applications. The core idea is to duplicate content in memories distributed across the network, which can then be exploited to deliver requested content with less congestion and delay. Automatic object recognition has become, over the last decades, a central topic in the artificial intelligence research, with a significant burt over the last new year with the advent of the deep learning paradigm; the objective of the work discussed in the Part 2 of this book is an attempt at improving the performance of a natural images classifier introducing in the loop knowledge coming from the real world, expressed in terms of probability of a set of spatial relations between the objects in the images. 132 pp. Englisch. N� de r�f. du vendeur 9786202087551

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Optimization for networks and object recognition

Giuseppe Vettigli

Edit� par Edizioni Accademiche Italiane, 2019

ISBN 10 : 6202087552 ISBN 13 : 9786202087551

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Optimization for networks and object recognition: Index coding and image analysis

Vettigli, Giuseppe

Edit� par Edizioni Accademiche Italiane, 2019

ISBN 10 : 6202087552 ISBN 13 : 9786202087551

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Paperback. Etat : Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock. N� de r�f. du vendeur zk6202087552

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Optimization for networks and object recognition

Giuseppe Vettigli

Edit� par Edizioni Accademiche Italiane Jul 2019, 2019

ISBN 10 : 6202087552 ISBN 13 : 9786202087551

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The present book explores two different application areas of combinatorial optimization, the work presented here, indeed, is two fold, since it deals with two distinct problems, one related to data transfer in networks and the other to object recognition. Caching is an essential technique to improve throughput and latency in a vast variety of applications. The core idea is to duplicate content in memories distributed across the network, which can then be exploited to deliver requested content with less congestion and delay. Automatic object recognition has become, over the last decades, a central topic in the artificial intelligence research, with a significant burt over the last new year with the advent of the deep learning paradigm; the objective of the work discussed in the Part 2 of this book is an attempt at improving the performance of a natural images classifier introducing in the loop knowledge coming from the real world, expressed in terms of probability of a set of spatial relations between the objects in the images.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 132 pp. Englisch. N� de r�f. du vendeur 9786202087551

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Optimization for networks and object recognition : Index coding and image analysis

Giuseppe Vettigli

Edit� par Edizioni Accademiche Italiane, 2019

ISBN 10 : 6202087552 ISBN 13 : 9786202087551

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present book explores two different application areas of combinatorial optimization, the work presented here, indeed, is two fold, since it deals with two distinct problems, one related to data transfer in networks and the other to object recognition. Caching is an essential technique to improve throughput and latency in a vast variety of applications. The core idea is to duplicate content in memories distributed across the network, which can then be exploited to deliver requested content with less congestion and delay. Automatic object recognition has become, over the last decades, a central topic in the artificial intelligence research, with a significant burt over the last new year with the advent of the deep learning paradigm; the objective of the work discussed in the Part 2 of this book is an attempt at improving the performance of a natural images classifier introducing in the loop knowledge coming from the real world, expressed in terms of probability of a set of spatial relations between the objects in the images. N� de r�f. du vendeur 9786202087551

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