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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [3]
计算技术研究所 [1]
长春光学精密机械与物... [1]
西安光学精密机械研究... [1]
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OAI收割 [6]
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期刊论文 [5]
会议论文 [1]
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2021 [1]
2019 [1]
2018 [1]
2017 [1]
2015 [1]
2011 [1]
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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
SVM
Max-margin classification
Hinge loss
Elastic net
Online learning
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-view learning
Online learning
Bayesian subspace learning
Max-margin
Classification
Regression
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
Social Event Classification
Multi-modal
Max-margin
Social Media
Topic Model
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
Activity Classification
Context Information
Max-margin Learning
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
Pose tracking
pose estimation
max-margin
articulated shapes
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%