Transfer learning for multimedia applications

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Transfer learning for multimedia applications

# Springer Science+Business Media, LLC, part of Springer Nature 2020

Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Transfer Learning for Multimedia Applications” (SI 1140 T). Of 70 papers submitted to this issue, 19 were eventually accepted after a stringent peer review process. Corresponding Guest Editor Jingjing Li University of Electronic Science and Technology of China, China Email: [email protected] Guest Editors Zhengming Ding Indiana University-Purdue University, USA Email: [email protected] Weiqing Wang Monash University, Australia Email: [email protected] Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.