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ENSURE: ENSEMBLE STEIN’S UNBIASED RISK ESTIMATOR FOR UNSUPERVISED LEARNING

Deep learning algorithms are emerging as powerful alternatives to compressed sensing methods, offering improved image quality and computational efficiency. Unfortunately, fully sampled training images may not be available or are difficult to acquire in several applications, including high-resolution...

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Detalhes bibliográficos
Publicado no:Proc IEEE Int Conf Acoust Speech Signal Process
Main Authors: Aggarwal, Hemant Kumar, Pramanik, Aniket, Jacob, Mathews
Formato: Artigo
Idioma:Inglês
Publicado em: 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8323317/
https://ncbi.nlm.nih.gov/pubmed/34335103
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/icassp39728.2021.9414513
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