Optimization Networks Object Recognition by Vettigli Giuseppe (7 results)
- Softcover
Seller: moluna, Greven, Germanymoluna
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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Optimization for networks and object recognition | Index coding and image analysis | Giuseppe Vettigli | Taschenbuch | 132 S. | Englisch | 2019 | Edizioni Accademiche Italiane | EAN 9786202087551 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail…[at]preigu[dot]de | Anbieter: preigu.
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Edizioni Accademiche Italiane Jul 2019, 2019
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: 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.
Language: English
Published by Edizioni Accademiche Italiane Jul 2019, 2019
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: 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 Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: 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 o…bject 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.
