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Deep Generative Models

Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Springer, October 2022
This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Mode... Full description
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23 702 Ft
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This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore. DG4MICCAI 2022 accepted 12 papers from the 15 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.

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About the book

Full name Deep Generative Models
Author Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dajiang Zhu, Yixuan Yuan
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2022
EAN 9783031185762
Libristo code 44818802
Publishers Springer

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Society & Social Sciences > Education > Educational equipment & technology, computer-aided learning (CAL)
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Information technology: general issues
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