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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer Nature Switzerland AG, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer Nature Switzerland AG, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, Dgm4miccai 2021, and First Workshop, Dali 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, October 1, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 1st ed. 2021. This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to machine learning systems.
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Deep Generative Models, And Data Augment
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, Dgm4miccai 2021, and First Workshop, Dali 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, October 1, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Condition: NEW.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Condition: New. This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in Oct.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer International Publishing, Springer Nature Switzerland Sep 2021, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 296 pp. Englisch.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Published by Springer International Publishing, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, andpromising future directions in Deep Generative Models. Deep generative modelssuch as Generative Adversarial Network (GAN) and Variational Auto-Encoder(VAE) are currently receiving widespread attention from not only the computervision and machine learning communities, but also in the MIC and CAI community.For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to machine learning systems.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections | First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Published by Springer Nature Switzerland, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Taschenbuch. Condition: Neu. Deep Generative Models, and Data Augmentation, Labelling, and Imperfections | First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings | Sandy Engelhardt (u. a.) | Taschenbuch | xv | Englisch | 2021 | Springer Nature Switzerland | EAN 9783030882099 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Paperback. Condition: New. 1st ed. 2021. This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to machine learning systems.
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Paperback. Condition: Brand New. 293 pages. 9.25x6.10x9.25 inches. In Stock. This item is printed on demand.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Published by Springer International Publishing Sep 2021, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, andpromising future directions in Deep Generative Models. Deep generative modelssuch as Generative Adversarial Network (GAN) and Variational Auto-Encoder(VAE) are currently receiving widespread attention from not only the computervision and machine learning communities, but also in the MIC and CAI community.For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorous study of medical data related to machine learning systems. 296 pp. Englisch.
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