Deep Generative Models, and Data Augmentation, Labelling, and Imperfections

Anglický jazyk

Deep Generative Models, and Data Augmentation, Labelling, and Imperfections

Vydavateľstvo: Springer International Publishing
Rok vydania: 2021
Formát: Paperback
Rozmer: 235 x 155 mm
Jazyk: Anglický jazyk
ISBN: 9783030882099

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... Viac o knihe

Na objednávku, dodanie 2-4 týždne

64.34 €

bežná cena: 71.49 €

O knihe

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.