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科研机构
北京航空航天大学 [5]
内容类型
会议论文 [3]
期刊论文 [2]
发表日期
2018 [5]
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发表日期:2018
专题:北京航空航天大学
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Anomaly Detection for Videos of Crowded Scenes based on Optical Flow Information
会议论文
2018 3RD IEEE INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (IEEE ICARM), 2018-01-01
作者:
Gao, Yuan
;
Cao, Hui
;
Xu, Shuo
;
Zhang, Jie
;
Ning, Xiaolin
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/30
Anomaly detection
weighted random forests
spatial-temporal feature
optical flow information
Correction of space atmospheric model based on data mining method [基于数据挖掘方法的空间大气模型修正]
期刊论文
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2018, 卷号: 44, 页码: 2628-2636
作者:
Liao, C.
;
Bai, X.
;
Xu, M.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Classification (of information)
Decision trees
Neural networks
Orbits
Random errors
Support vector machines
Weather forecasting
Application performance
Atmospheric model
Data mining methods
Data mining technology
Feedforward backpropagation neural networks
Maximum probability
Random forests
Supervised classification
Data mining
A novel method of overrun risk measurement and assessment using large scale QAR Data
会议论文
Proceedings - IEEE 4th International Conference on Big Data Computing Service and Applications, BigDataService 2018, 2018-03-26
作者:
Lv, H.
;
Yu, J.
;
Zhu, T.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/30
Aircraft accidents
Decision trees
Learning systems
Risk assessment
Supersonic aerodynamics
Commercial aircraft
Feature dimensions
Flight parameters
Machine learning models
Overrun risk mea surement
QAR Data
Random forests
Risk measurement
Big data
Ship detection based on multiple features in random forest model for hyperspectral images
会议论文
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
作者:
Li, N.
;
Ding, L.
;
Zhao, H.
;
Shi, J.
;
Wang, D.
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Decision trees
Hyperspectral imaging
Image texture
Independent component analysis
Infrared devices
Infrared radiation
Principal component analysis
Remote sensing
Ships
Spectroscopy
Support vector machines
Tellurium compounds
Multiple features
Random forests
Ship detection
Spectral feature
Texture features
Feature extraction
Prediction of Bus Travel Time Using Random Forests Based on Near Neighbors
期刊论文
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2018, 卷号: 33, 页码: 333-350
作者:
Yu, Bin
;
Wang, Huaizhu
;
Shan, Wenxuan
;
Yao, Baozhen
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Bus transportation
Buses
Decision trees
Errors
Mean square error
Nearest neighbor search
Support vector machines
Travel time
Computation time
Departure time
K nearest neighbor (KNN)
Mean absolute error
Mean absolute percentage error
Random forests
Real-time prediction
Root mean squared errors
Forecasting
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