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VIGAN: Missing View Imputation with Generative Adversarial Networks

In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collected from heterogeneous sources, resulting in multi-view or multi-modal datasets. The missing data problem has been challe...

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Dettagli Bibliografici
Pubblicato in:Proc IEEE Int Conf Big Data
Autori principali: Shang, Chao, Palmer, Aaron, Sun, Jiangwen, Chen, Ko-Shin, Lu, Jin, Bi, Jinbo
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2018
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5813842/
https://ncbi.nlm.nih.gov/pubmed/29457155
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BigData.2017.8257992
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