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Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 11
作者:
Lei, Chunli
;
Xue, Linlin
;
Jiao, Mengxuan
;
Zhang, Huqiang
;
Shi, Jiashuo
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/09/22
Chemical activation
Convolution
Convolutional neural networks
Fault detection
Neural network models
Roller bearings
Activation functions
Condition
Convolutional neural network
E-rectified linear unit activation function
Faults diagnosis
Linear units
Markov transition field
Multi dimensions
Multi-dimension attention
Transition fields
A Comprehensive Review of Markov Random Field and Conditional Random Field Approaches in Pathology Image Analysis
期刊论文
Archives of Computational Methods in Engineering, 2022, 卷号: 29, 期号: 1, 页码: 609-639
作者:
Li, Yixin
;
Li, Chen
;
Li, Xiaoyan
;
Wang K(王锴)
;
Rahaman, Md Mamunur
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  |  
浏览/下载:22/0
  |  
提交时间:2021/05/25
Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1968-1982
作者:
Xu, Yiqun
;
Hu, Wei
;
Wang, Shanshe
;
Zhang, Xinfeng
;
Wang, Shiqi
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  |  
浏览/下载:21/0
  |  
提交时间:2021/12/01
Dynamic point clouds
attribute coding
inter-coding
generalized graph Fourier transform
A Parallel Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Heterogeneous Markov Random Field
期刊论文
IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2020, 卷号: 19, 期号: 3, 页码: 538-546
作者:
Lv, Zhilong
;
Mi, Fubo
;
Wu, Zhongke
;
Zhu, Yicheng
;
Liu, Xinyu
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  |  
浏览/下载:24/0
  |  
提交时间:2020/12/10
Gaussian distribution
Image segmentation
Particle swarm optimization
Optimization
Histograms
Markov random fields
Robustness
Three-dimensional cerebrovascular segmentation
focused multi-Gaussians model
Chaotic oscillation particle swarm optimization
Markov random field
Color restoration of mural image based on double constrained convolutional neural network
期刊论文
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 卷号: 48, 期号: 6, 页码: 6-12
作者:
Xu, Zhigang
;
Yin, Wenyu
;
Zhu, Xufeng
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  |  
浏览/下载:12/0
  |  
提交时间:2020/11/14
Color
Convolution
Convolutional neural networks
Discoloration
Markov processes
Multilayer neural networks
Restoration
Color features
Color restoration
Difference constraints
Global feature
Higher-order
Image-based
Local structure
Markov Random Fields
Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 期号: 1, 页码: 11
作者:
Zhang, Haicang
;
Zhang, Qi
;
Ju, Fusong
;
Zhu, Jianwei
;
Gao, Yujuan
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  |  
浏览/下载:50/0
  |  
提交时间:2020/12/10
Residue-residue contacts prediction
Deep learning
Markov random fields
Composite likelihood maximization
Attention Matters: An Exploration of Relationship Between Google Search Behaviors and Crude Oil Prices
期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2019, 卷号: 32, 期号: 5, 页码: 1438-1459
作者:
Li Xin
;
Zhang Xun
;
Wang Shouyang
;
Ma Jian
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  |  
浏览/下载:56/0
  |  
提交时间:2020/01/10
Asymmetric response
crude oil prices
Google search
investor attention
Markov switching autoregressive model
Hyperspectral Light Field stereo Matching
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2019, 卷号: 41, 期号: 5, 页码: 1131-1143
作者:
Yu, Jingyi
;
Xue, Yujia
;
Fu, Qiang
;
Kang, Sing Bing
;
Chen, Xilin
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2019/08/16
Hyperspectral light fields
stereo matching
spectral-invariant feature descriptor
spectral-aware defocus cues
MCMC Inversion of Stokes Profiles
期刊论文
ASTROPHYSICAL JOURNAL, 2019, 卷号: 875, 期号: 2, 页码: 13
作者:
Li H(李昊)
;
Xu Z(徐稚)
;
Qu ZQ(屈中权)
;
Sun LL(孙磊磊)
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2019/05/21
line: profiles
polarization
Sun: atmosphere
Sun: magnetic fields
A Markov Random Field and Adaptive Regularization Embedded Level Set Segmentation Model Solving by Graph Cuts.
期刊论文
Journal of Electrical & Computer Engineering, 2019, 页码: 1-13
作者:
Wang, Dengwei
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/17
MARKOV
random
fields
*IMAGE
segmentation
*REGULARIZATION
(Mathematics)
*MATHEMATICAL
optimization
*IMAGE
processing
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