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科研机构
兰州理工大学 [4]
自动化研究所 [2]
计算技术研究所 [1]
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期刊论文 [5]
会议论文 [2]
发表日期
2020 [7]
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Two-stream deep sparse network for accurate and efficient image restoration
期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, 卷号: 200, 页码: 11
作者:
Wang, Shuhui
;
Hu, Ling
;
Li, Liang
;
Zhang, Weigang
;
Huang, Qingming
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/12/10
Two-stream sparse network
Image restoration
Image super-resolution
Image denoising
Improved Alexnet Based Fault Diagnosis Method for Rolling Bearing Under Variable Conditions
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 3, 页码: 472-480
作者:
Zhao, Xiaoqiang
;
Zhang, Qingqing
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/11/14
Convolution
Failure analysis
Fault detection
Iterative methods
Time domain analysis
Complex condition
Fault diagnosis method
Iterative Optimization
State identification
Time-domain signal
Two-dimensional features
Two-dimensional spectrum
Variable conditions
Rolling bearing fault diagnosis method based on improved Alexnet and PSO-BFA
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 7, 页码: 21-28
作者:
Zhao, Xiaoqiang
;
Zhang, Qingqing
;
Chen, Peng
;
Zhu, Qixian
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Complex networks
Failure analysis
Fault detection
Iterative methods
Particle swarm optimization (PSO)
Bacterial foraging algorithm
Convolution neural network
Diagnostic accuracy
Generalization performance
Iterative Optimization
Multiple iterations
Structure parameter
Swarm intelligence algorithms
Object Reidentification via Joint Quadruple Decorrelation Directional Deep Networks in Smart Transportation
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2020, 卷号: 7, 期号: 4, 页码: 2944-2954
作者:
Zhu, Jianqing
;
Huang, Jingchang
;
Zeng, Huanqiang
;
Ye, Xiaoqing
;
Li, Baoqing
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  |  
浏览/下载:15/0
  |  
提交时间:2020/07/06
Deep learning
pedestrian reidentification
smart transportation
vehicle reidentification
Mis-classified Vector Guided Softmax Loss for Face Recognition
会议论文
美国纽约, 2020-02
作者:
Wang, Xiaobo
;
Zhang, Shifeng
;
Wang, Shuo
;
Fu, Tianyu
;
Shi, Hailin
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  |  
浏览/下载:6/0
  |  
提交时间:2020/06/08
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
会议论文
作者:
Li, Xiaoxu
;
Chang, Dongliang
;
Ma, Zhanyu
;
Tan, Zheng-Hua
;
Xue, Jing-Hao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/12/18
Benchmarking
Deep neural networks
Large dataset
TestingBenchmark datasets
Discriminative features
Function spaces
Generalization error bounds
Nonlinear layers
Number of class
Rademacher complexity
Small sample datum
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 页码: 6482-6495
作者:
Li, Xiaoxu
;
Chang, Dongliang
;
Ma, Zhanyu
;
Tan, Zheng-Hua
;
Xue, Jing-Hao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Benchmarking
Deep neural networks
Large dataset
Testing
Benchmark datasets
Discriminative features
Function spaces
Generalization error bounds
Nonlinear layers
Number of class
Rademacher complexity
Small sample datum
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