Open AccessUncertainty-Aware Multi-View Representation Learning
Author(s) -
Yu Geng,
Zongbo Han,
Changqing Zhang,
Qinghua Hu
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i9.16924
Subject(s) - robustness (evolution) , computer science , noise (video) , representation (politics) , noisy data , machine learning , artificial intelligence , perspective (graphical) , data quality , sample (material) , quality (philosophy) , unsupervised learning , feature learning , data mining , image (mathematics) , metric (unit) , biochemistry , chemistry , operations management , philosophy , epistemology , chromatography , politics , political science , law , economics , gene
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