Type d'article
Etat
Reliure
Particularités
Livraison gratuite
Pays
Evaluation du vendeur
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Livre
Etat : As New. Unread book in perfect condition.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Livre
Paperback. Etat : New.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Livre
Etat : New.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : booksXpress, Bayonne, NJ, Etats-Unis
Livre
Soft Cover. Etat : new.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : GreatBookPricesUK, Castle Donington, DERBY, Royaume-Uni
Livre
Etat : New.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : GreatBookPricesUK, Castle Donington, DERBY, Royaume-Uni
Livre
Etat : As New. Unread book in perfect condition.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Livre
Etat : New.
Edité par Springer International Publishing 2020-10-17, Berlin, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Blackwell's, London, Royaume-Uni
Livre
paperback. Etat : New. Language: ENG.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Livre impression à la demande
Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Edité par Springer-Nature New York Inc, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Livre impression à la demande
Paperback. Etat : Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock. This item is printed on demand.
Edité par Springer Nature Switzerland AG, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Livre
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Springer International Publishing Okt 2020, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Livre
Taschenbuch. Etat : 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.
Edité par Springer International Publishing Okt 2020, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Livre
Taschenbuch. Etat : 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.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : moluna, Greven, Allemagne
Livre
Etat : 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 .
Edité par Springer-Nature New York Inc, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Livre
Paperback. Etat : Brand New. 152 pages. 9.25x6.10x0.36 inches. In Stock.
Edité par Springer International Publishing Okt 2020, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Wegmann1855, Zwiesel, Allemagne
Livre
Taschenbuch. Etat : 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.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Livre
Etat : New.
Edité par Springer 2020-10, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Livre
PF. Etat : New.
Edité par Springer International Publishing Okt 2020, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Livre
Taschenbuch. Etat : 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.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Livre
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Springer, 2020
ISBN 10 : 3030256162ISBN 13 : 9783030256166
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Livre
Etat : New.