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Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Multi-view Representation Learning and Understanding” (SI 1142 T).
Of 47 papers submitted to this issue, 14 were eventually accepted after a stringent peer review process.
Corresponding Guest Editor
Tao Zhou
University of North Carolina at Chapel Hill, USA
Email: taozhou@email.unc.edu
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Yu Zhang
Stanford University, USA
Email: yzhangsu@stanford.edu
Kim-Han Thung
University of North Carolina at Chapel Hill, USA
Email: khthung@med.unc.edu
Ehsan Adeli
Stanford University, USA
Email: eadeli@stanford.edu
Islem Rekik
University of Dundee, UK
Email: irekik@dundee.ac.uk
Qibin Zhao
RIKEN AIP, Japan
Email: qbzhao@brain.riken.jp
Changqing Zhang
Tianjin University, China
Email: zhangchangqing@tju.edu.cn
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Multi-view representation learning and understanding. Multimed Tools Appl 80, 22865 (2021). https://doi.org/10.1007/s11042-021-10504-z
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DOI: https://doi.org/10.1007/s11042-021-10504-z