Improving penalized semi supervised nonnegative matrix factorization result’s confidence using deep residual learning approach in spectrum analysis
Author:
Affiliation:
1. Aix-Marseille université CNRS PIIM, UMR 7345,Marseille,France
2. Osaka University,Graduate School of Engineering,Osaka,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872524/9872533/09873493.pdf?arnumber=9873493
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