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Deep generative models = second MICC...
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MICCAI Workshop on Deep Generative Models (2022 :)
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Deep generative models = second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Deep generative models/ edited by Anirban Mukhopadhyay ... [et al.].
Reminder of title:
second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
remainder title:
DGM4MICCAI 2022
other author:
Mukhopadhyay, Anirban.
corporate name:
MICCAI Workshop on Deep Generative Models
Published:
Cham :Springer Nature Switzerland : : 2022.,
Description:
x, 127 p. :ill. (chiefly color), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Deep learning (Machine learning) - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-031-18576-2
ISBN:
9783031185762
Deep generative models = second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Deep generative models
second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :DGM4MICCAI 2022edited by Anirban Mukhopadhyay ... [et al.]. - Cham :Springer Nature Switzerland :2022. - x, 127 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,136090302-9743 ;. - Lecture notes in computer science ;13609..
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.
ISBN: 9783031185762
Standard No.: 10.1007/978-3-031-18576-2doiSubjects--Topical Terms:
3593062
Deep learning (Machine learning)
--Congresses.
LC Class. No.: Q325.73 / .M53 2022
Dewey Class. No.: 006.31
Deep generative models = second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
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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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EB Q325.73 .M53 2022
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