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科研机构
大连理工大学 [3]
北京航空航天大学 [1]
山东大学 [1]
内容类型
期刊论文 [3]
会议论文 [2]
发表日期
2019 [5]
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Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network
期刊论文
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2019, 卷号: 34, 页码: 616-634
作者:
Li, Shengyuan
;
Zhao, Xuefeng
;
Zhou, Guangyi
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浏览/下载:38/0
  |  
提交时间:2019/12/02
Concrete buildings
Concrete construction
Concretes
Convolution
Deep learning
Drying
Object detection
Pixels
Range finders
Structural analysis
Surface chemistry, Comparative studies
Convolutional networks
Laser range finders
Learning-based methods
Pixel level detection
Real world situations
Structural damage detection
Structural damages, Damage detection
Robust subspace learning-based low-rank representation for manifold clustering
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2019, 卷号: 31, 页码: 7921-7933
作者:
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/02
Subspace learning
Low-rank representation
Manifold clustering
Spectral clustering-based methods
A Knowledge Graph based Bidirectional Recurrent Neural Network Method for Literature-based Discovery
会议论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
作者:
Sang, S.
;
Yang, Z.
;
Liu, X.
;
Wang, L.
;
Zhang, Y.
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  |  
浏览/下载:14/0
  |  
提交时间:2019/12/02
Association reactions
Bioinformatics
Embeddings
Graphic methods
Recurrent neural networks
Vector spaces, Bidirectional recurrent neural networks
Biomedical abstracts
Drug discovery
Graph embeddings
Knowledge graphs
Learning methods
Literature-based discoveries
Short term memory, Deep learning
Automatic and optimal segmentation of the left ventricle in cardiac magnetic resonance images independent of the training sets
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 10, 页码: 1725-1735
作者:
Wang, Zhenzhou
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
biomedical MRI
learning (artificial intelligence)
image segmentation
medical image processing
cardiology
deep learning-based methods
significant break-throughs
complete training sets
training
sets-independent method
segment LV optimally
available
state-of-the-art training-sets-independent image segmentation methods
segmentation method
poor quality images
optimal solution
state-of-the-art training-sets-independent segmentation methods
optimal
segmentation
left ventricle
cardiac magnetic resonance images
cardiac
imaging
Unsupervised ego-motion and dense depth estimation with monocular video
会议论文
International Conference on Communication Technology Proceedings, ICCT, 2018-10-08
作者:
Xu, Y.
;
Wang, Y.
;
Guo, L.
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浏览/下载:8/0
  |  
提交时间:2019/12/30
Deep learning
Motion estimation
Dense depth estimation
Depth
Ego motion
Ego-motion estimation
Learning from videos
Learning-based methods
Optical flow estimation
Unsupervised
Computer vision
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