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CAS IR Grid
机构
重庆绿色智能技术研究... [2]
长春光学精密机械与物... [1]
过程工程研究所 [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [3]
会议论文 [1]
发表日期
2022 [1]
2021 [1]
2013 [2]
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A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:
Fu, Dongyang
;
Huang, Haoen
;
Xiao, Xiuchun
;
Xia, Linghui
;
Jin, Long
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/08/22
Sea ice
Arctic
Minimization
Data mining
Remote sensing
Scattering
Robustness
Arctic sea ice extraction
generalized complex-valued constrained energy minimization (GCVCEM) scheme
modified Newton integration (MNI) neural algorithm
noise-tolerance ability
Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 11
作者:
Fu, Dongyang
;
Huang, Haoen
;
Wei, Lin
;
Xiao, Xiuchun
;
Jin, Long
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/08/22
Mathematical model
Heuristic algorithms
Oceans
Noise measurement
Iterative algorithms
Education
Technological innovation
Dynamic system of linear equations
modified Newton integration (MNI) algorithm
noise tolerance
steady-state error
Mining breast cancer genes with a network based noise-tolerant approach
期刊论文
OAI收割
BMC SYSTEMS BIOLOGY, 2013, 卷号: 7, 期号: 0, 页码: 49
作者:
Nie, Yaling
;
Yu, Jingkai
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2015/05/05
Network
Breast cancer
Data noise
Noise tolerance
Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE)
会议论文
OAI收割
2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China
作者:
Zhou J.
收藏
  |  
浏览/下载:152/0
  |  
提交时间:2013/03/25
The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm
the paper presents bicubic interpolation gray square weighted centroid localization algorithm
increases the number of effective pixels around the optical characteristic point imaging center
and reduces noise error via the gray square weighted
improves the imaging center location accuracy of optical characteristic point
realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location
the standard tolerance along the direction of x is 0.0022 Pixel
the standard tolerance along the direction of y is 0.0023 Pixel
compared with the others
the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point
that is
the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel
the one along the direction of y is 0.007 Pixel
compared with the other two algorithms
the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications
Switzerland.