中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [5]
采集方式
OAI收割 [5]
内容类型
期刊论文 [4]
会议论文 [1]
发表日期
2022 [2]
2019 [1]
2016 [1]
2015 [1]
学科主题
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Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:
Zixiang, Ding
;
Yaran, Chen
;
Nannan, Li
;
Dongbin, Zhao
;
C.L.Philip Chen,
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/01/07
broad neural architecture search, stacked broad convolutional neural network, knowledge embedding search, image classification.
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:
Zixiang, Ding
;
Yaran, Chen
;
Nannan, Li
;
Dongbin, Zhao
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/01/07
Broad neural architecture search (BNAS), continuous relaxation, confident learning rate, partial channel connections, image classification.
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition
期刊论文
OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:
N. R. Nayak
;
P. K. Dash
;
R. Bisoi
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/02/22
Non-stationary signals
sparse S-transform (SST)
scaling method
fuzzy decision tree
pattern classification.
Particle detection on low contrast image of large aperture optics
会议论文
OAI收割
yinchuan, 2016-5
作者:
Ding Wendong
;
Xu D(徐德)
;
Zhang ZT(张正涛)
;
Zhang DP(张大朋)
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2018/01/04
Particle Inspection
Image Alignment
Reference Image Subtraction
Classification.
MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multi-category Classification
期刊论文
OAI收割
IEEE Transactions on Neural Networks and Learning Systems, 2015, 页码: 1-7
作者:
Wang, Lingfeng
;
Zhang, Xuyao
;
Pan, Chunhong
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2016/03/30
Discriminative least squares regression (DLSR), least squares regression (LSR), multicategory classification.