Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled, “Multimodal Data Fusion, Learning and Applications.”
Of 30 papers submitted to this issue, 12 were eventually accepted after the stringent peer-review process.
Dr. Jun Zhang (Corresponding Guest Editor)
Department of Radiology and BRIC,
University of North Carolina, Chapel Hill, NC, USA
Email: xdzhangjun@gmail.com
Dr. Liujuan Cao
School of Information Science and Engineering,
Xiamen University, Xiamen, China
Email: caoliujuan@xmu.edu.cn
Dr. Mingxia Liu
School of Computer Science and Technology,
Nanjing University of Aeronautics and Astronautics, Nanjing, China
Email: mxliu1226@gmail.com
Dr. Yi Zhen
Baidu Research,
Sunnyvale, CA, USA
Email: zhenyisx@gmail.com
Rights and permissions
About this article
Cite this article
Editorial Note: Multimodal Data Fusion, Learning and Applications. Multimed Tools Appl 76, 11959 (2017). https://doi.org/10.1007/s11042-017-4722-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-017-4722-x