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Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Chiron Media, Wallingford, Regno Unito
Libro
Paperback. Condizione: New.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: booksXpress, Bayonne, NJ, U.S.A.
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Hardcover. Condizione: new.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: New.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: booksXpress, Bayonne, NJ, U.S.A.
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Soft Cover. Condizione: new.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Springer International Publishing 2020-10-17, Berlin, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Blackwell's, London, Regno Unito
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paperback. Condizione: New. Language: ENG.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Revaluation Books, Exeter, Regno Unito
Libro Print on Demand
Paperback. Condizione: Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock. This item is printed on demand.
Editore: Springer International Publishing, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro
Taschenbuch. 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.
Editore: Springer International Publishing Okt 2019, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Buch. 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.
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
Libro
Taschenbuch. 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.
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Wegmann1855, Zwiesel, Germania
Libro
Taschenbuch. 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.
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Revaluation Books, Exeter, Regno Unito
Libro
Paperback. Condizione: Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock.
Editore: Springer 2020-10, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: Chiron Media, Wallingford, Regno Unito
Libro
PF. Condizione: New.
Editore: Springer International Publishing, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: moluna, Greven, Germania
Libro
Kartoniert / Broschiert. Condizione: New. Explores the latest trends in denoising and inpainting and goes beyond traditional methods in computer visionPresents solutions to fast (real time) and accurate automatic removal of occlusions (text, objects or stain) in .
Editore: Springer International Publishing Okt 2020, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Taschenbuch. 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.
Editore: Springer International Publishing, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Buch. 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.
Editore: Springer International Publishing, 2020
ISBN 10: 3030256162ISBN 13: 9783030256166
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Libro
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Springer International Publishing, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: moluna, Greven, Germania
Libro Print on Demand
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores the latest trends in denoising and inpainting and goes beyond traditional methods in computer visionPresents solutions to fast (real time) and accurate automatic removal of occlusions (text, objects or stain) in .
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: Revaluation Books, Exeter, Regno Unito
Libro Print on Demand
Hardcover. Condizione: Brand New. 152 pages. 9.25x6.10x0.63 inches. This item is printed on demand.
Editore: Springer, 2019
ISBN 10: 3030256138ISBN 13: 9783030256135
Da: dsmbooks, Liverpool, Regno Unito
Libro
Hardcover. Condizione: New. New. book.