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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 58,50
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Da: Chiron Media, Wallingford, Regno Unito
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Condizione: New. pp. VIII, 144 65 illus., 56 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,49
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Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030256162 ISBN 13: 9783030256166
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapters present results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting. 152 pp. Englisch.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,36
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Lingua: Inglese
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 3030256162 ISBN 13: 9783030256166
Da: Revaluation Books, Exeter, Regno Unito
EUR 76,03
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Aggiungi al carrelloPaperback. Condizione: Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock.
Lingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 3030256138 ISBN 13: 9783030256135
Da: Revaluation Books, Exeter, Regno Unito
EUR 77,96
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Aggiungi al carrelloHardcover. Condizione: Brand New. 152 pages. 9.25x6.10x0.63 inches. In Stock.
Condizione: New.
Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Okt 2019, 2019
ISBN 10: 3030256138 ISBN 13: 9783030256135
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapterspresent results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Okt 2020, 2020
ISBN 10: 3030256162 ISBN 13: 9783030256166
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapterspresent results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2020
ISBN 10: 3030256162 ISBN 13: 9783030256166
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapterspresent results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.
Lingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030256138 ISBN 13: 9783030256135
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapterspresent results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting.
EUR 149,90
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EUR 154,00
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Aggiungi al carrelloCondizione: Neuf.
Lingua: Francese
Editore: Médecine Science Publications (9/2008), 2008
ISBN 10: 2257000056 ISBN 13: 9782257000057
Da: BOOKIT!, Genève, Svizzera
EUR 233,91
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Aggiungi al carrelloCondizione: Used: Like New. LIVRE A L?ETAT DE NEUF. EXPEDIE SOUS 3 JOURS OUVRES. NUMERO DE SUIVI COMMUNIQUE AVANT ENVOI, EMBALLAGE RENFORCE. EAN:9782257000057.
Da: Majestic Books, Hounslow, Regno Unito
EUR 70,71
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Aggiungi al carrelloCondizione: New. Print on Demand pp. VIII, 144 65 illus., 56 illus. in color.
Lingua: Inglese
Editore: Springer International Publishing Okt 2019, 2019
ISBN 10: 3030256138 ISBN 13: 9783030256135
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in image/video processing, such as denoising, restoration, super-resolution, or inpainting.Inpainting and Denoising Challenges comprises recent efforts dealing with image and video inpainting tasks. This includes winning solutions to the ChaLearn Looking at People inpainting and denoising challenges: human pose recovery, video de-captioning and fingerprint restoration.This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants. The following chapters present results from the Challenge, including three competition tasks at WCCI and ECML 2018. The top best approaches submitted by participants are described, showing interesting contributions and innovating methods. The last two chapters propose novel contributions and highlight new applications that benefit from image/video inpainting. 152 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 73,56
Quantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 71,97
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. VIII, 144 65 illus., 56 illus. in color.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 74,81
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