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Hierarchical deep hashing for image retrieval
  • ISSN号:1672-3961
  • 期刊名称:《山东大学学报:工学版》
  • 时间:0
  • 分类:TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] TP301.6[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China, [2]Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing 211106, China
  • 相关基金:This work was partially supported by the National Natural Science Foundation of China (Grant Nos, 61373060 and 61672280) and Qing Lan Project.
中文摘要:

E-mail: sunge@nuaa.edu.cn,Ge Song received his BS degree in computer science and technology from Zhengzhou University, China in 2014. Now he is a PhD student in Nanjing University of Aeronautics and Astronautics, China. His research interests are in image retrieval, machine learning, pattern recognition, and computer vision. x.tan@nuaa.edu.cn,Xiaoyang Tan received his BS and MS de- grees in computer applications from Nan- jing University of Aeronautics and Astro- nautics (NUAA), China in 1993 and 1996, respectively. Then he worked at NUAA in June 1996 as an assistant lecturer. He re- ceived a PhD degree from Department of Computer Science and Technology of Nanjing University, China in 2005. From September 2006 to October 2007, he worked as a postdoctoral researcher in the LEAR (Learning and Recognition in Vision) team at INRIA Rhone- Alpes in Greno- ble, France. His research interests are in face recognition, machine learning, pattern recognition, and computer vision. In these fields, he has authored or coauthored over 40 scientific papers.

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期刊信息
  • 《山东大学学报:工学版》
  • 北大核心期刊(2011版)
  • 主管单位:教育部
  • 主办单位:山东大学
  • 主编:李术才
  • 地址:山东济南市经十路17923号
  • 邮编:250061
  • 邮箱:xbgxb@sdu.edu.cn
  • 电话:0531-88396452
  • 国际标准刊号:ISSN:1672-3961
  • 国内统一刊号:ISSN:37-1391/T
  • 邮发代号:24-221
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘(网络版),波兰哥白尼索引,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:6258