期刊文献+

Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model

Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model
下载PDF
导出
出处 《国际计算机前沿大会会议论文集》 2018年第2期30-30,共1页 International Conference of Pioneering Computer Scientists, Engineers and Educators(ICPCSEE)
关键词 IN-SERVICE time detection Feature extraction MATCH weightSemi-supervised k-NNM identification module In-service time detection Feature extraction Match weightSemi-supervised k-NNM identification module
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部