中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共6条,第1-6条 帮助

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Sample-based online learning for bi-regular hinge loss 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2021, 页码: 16
作者:  
Xue, Wei;  Zhong, Ping;  Zhang, Wensheng;  Yu, Gaohang;  Chen, Yebin
  |  收藏  |  浏览/下载:23/0  |  提交时间:2021/03/08
Online Bayesian max-margin subspace learning for multi-view classification and regression 期刊论文  OAI收割
MACHINE LEARNING, 2019, 页码: 31
作者:  
He, Jia;  Du, Changying;  Zhuang, Fuzhen;  Yin, Xin;  He, Qing
  |  收藏  |  浏览/下载:28/0  |  提交时间:2020/12/10
Multi-modal max-margin supervised topic model for social event analysis 期刊论文  OAI收割
Multimedia Tools and Applications, 2018, 期号: 99, 页码: 1–20
作者:  
Feng Xue;  Jianwei Wang;  Shengsheng Qian;  Tianzhu Zhang;  Xueliang Liu
  |  收藏  |  浏览/下载:37/0  |  提交时间:2018/02/07
Learning discriminative context models for concurrent collective activity recognition 期刊论文  OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 5, 页码: 7401-7420
作者:  
Zhao, Chaoyang;  Wang, Jinqiao;  Lu, Hanqing
  |  收藏  |  浏览/下载:28/0  |  提交时间:2017/05/05
Tracking Human Pose Using Max-Margin Markov Models 期刊论文  OAI收割
ieee transactions on image processing, 2015, 卷号: 24, 期号: 12, 页码: 5274-5287
作者:  
Zhao, Lin;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong
收藏  |  浏览/下载:29/0  |  提交时间:2015/11/10
The aircraft autopilot design of parameters changing in a wide range (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China
Zhen D.; Yue Z.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Autopilot is an important part of aircraft  Under the action of the disturbance torque  for the flight parameters of aircraft Changing in a wide range  the range was about 16km  on the basic of analyzing the typical trajectory  the max height was about 5100m  the trajectory of feature points were selected  the deviation of lateral was about 12m  taking pitch control loop for example  the maximum angle of attack was about 3.6  a sub- PID autopilot was designed using classical control theory  the maximum elevator deflection was less than 5  using single-mode Transient suppression method  the maximum aileron deflection was less than 2  the overload due to control surface transition deflection was avoided when control parameters changing  the maximum roll was less than 5  the verification was done by non-linear simulation. The result showed that: the phase margin of autopilot was greater than 30  the response of overload can accurately track the given overload instruction. An autopilot design method of aircraft of parameter changes in a wide range was provided. 2011 IEEE.  the bandwidth was more than 14rad / s  the settling time was less than 0.7s  the maximum overshoot was 23.3%