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Emotion recognition from thermal infrared images using deep Boltzmann machine
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  • 分类:TP75[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] Q811.211[生物学—生物工程]
  • 作者机构:[1]School of Computer Science and Technology, University of Science and Technology of China, Hefei 230027, China, [2]Key Lab of Computing and Communicating Software of Anhui Province, Hefei 230027, China, [3]Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY 12180-3590, USA
  • 相关基金:This paper was supported by the National Natural Science Foundation of China (Grant Nos. 61175037, 61228304), Special Innovation Project on Speech of Anhui Province (11010202192), Project from Anhui Science and Technology Agency (1106c0805008) and the Fundamental Research Funds for the Central Universities. We also acknowledge partial support from the US National Science Foundation (1205664).
中文摘要:

Shangfei Wang received her BS in electronic engineering from Anhui University. China in 1996. She received her MS in circuits and systems, and the PhD in signal and information processing from University of Science and Technology of China (USTC), China in 1999 and 2002. From 2004 to 2005,she was a postdoctoral research fellow in Kyushu University+ Japan. Between 2011 and 2012, Dr. Wang was a visiting scholar at Rensselaer Polytechnic Institute in Troy, USA. She is currently an as- sociate professor of School of Computer Science and Technology, USTC. Dr. Wang is an IEEE and ACM member. Her research interests cover computation intelligence, affective computing, and probabilistic graphical models. She has authored or co-authored over 70 publications.E-mail: sfwang @ustc.edu.cn Menghua He received her BS in information and computation science from Anhui University, China in 2011. She is currently pursuing her MS in computer science at the University of Science and Technology of China, Hefci, China. Her research interesting is affective computing. Zhen Gao received his BS in computer science from Nanjing University of Science and Technology in 2013, and he is currently pursuing his MS in computer science in the University of Science and Technology of China, Hefei, China. His research interesting is affective computing. Shan He received his BS in computer science from Anhui Agriculture University, China in 2010. He received his MS in computer science in the University of Science and Technology of China (USTC), China in 2013. He is currently a researcher of iFLYTEK research. Qiang Ji received his PhD in electri- cal engineering from the University of Washington. He is currently a professor with the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). He recently served as a program direc- tor at the National Science Foundation (NSF), where he managed NSF's corn-puter vision and machine learning programs. He also held teaching and research positi

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