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Sinopsis
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 rigorous study of medical data related to machine learning systems.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
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Springer International Publishing Sep 2021, 2021
ISBN 10: 3030882098
ISBN 13: 9783030882099
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783030882099
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
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Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030882098
ISBN 13: 9783030882099
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Kartoniert / Broschiert
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Nº de ref. del artículo: 501192541
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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
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Springer International Publishing, 2021
ISBN 10: 3030882098
ISBN 13: 9783030882099
Nuevo
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783030882099
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections: First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in . (Lecture Notes in Computer Science, 13003)
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Paperback. Condición: New. Nº de ref. del artículo: 6666-IUK-9783030882099
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26390224706
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Publicado por
Springer International Publishing, Springer Nature Switzerland Sep 2021, 2021
ISBN 10: 3030882098
ISBN 13: 9783030882099
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783030882099
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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