Open AccessLearning with Marginalized Corrupted Features and Labels Together
Author(s) -
Yingming Li,
Ming Yang,
Zenglin Xu,
Zhongfei Zhang
Publication year - 2016
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v30i1.10152
Subject(s) - computer science , exploit , robustness (evolution) , machine learning , artificial intelligence , noise (video) , noise reduction , generalization , benchmark (surveying) , resource (disambiguation) , autoencoder , data mining , pattern recognition (psychology) , deep learning , image (mathematics) , mathematics , computer network , mathematical analysis , biochemistry , chemistry , computer security , geodesy , gene , geography
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