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科研机构
西安交通大学 [2]
北京航空航天大学 [1]
自动化研究所 [1]
湖南大学 [1]
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期刊论文 [5]
发表日期
2019 [5]
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Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1922-1930
作者:
Yang, Menglin
;
Li, Ding
;
Zhang, Wensheng
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浏览/下载:61/0
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提交时间:2019/12/16
feature extraction
diseases
medical image processing
patient diagnosis
image segmentation
image classification
supervised learning
image annotation
thoracic disease diagnosis
weakly supervised learning
computer-aided diagnosis
coarse image-level annotations
pathological area
nonlocal aware features
fine-grained expertise
clinical diagnosis
visualisation method
chest X-ray dataset
spatial nonlocal attention mechanism
ResNet-SNA
Large-Scale Robust Semisupervised Classification
期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 页码: 907-917
作者:
Zhang, Lingling
;
Luo, Minnan
;
Li, Zhihui
;
Nie, Feiping
;
Zhang, Huaxiang
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浏览/下载:23/0
  |  
提交时间:2019/11/19
Computational consumption
Labeled and unlabeled data
Optimization algorithms
Ridge regression
Semi- supervised learning
Semi-supervised classification
Semi-supervised learning methods
Semi-supervised method
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 页码: 2116-2132
作者:
Bi, Haixia
;
Sun, Jian
;
Xu, Zongben
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浏览/下载:22/0
  |  
提交时间:2019/11/19
Convolutional Neural Networks (CNN)
Graph model
Image edge detection
Polarimetric synthetic aperture radars
Prediction algorithms
Semi-supervised method
Task analysis
Sign correlation subspace for face alignment
期刊论文
Soft Computing, 2019, 卷号: Vol.23 No.1, 页码: 241-249
作者:
Dansong Cheng
;
Yongqiang Zhang
;
Feng Tian
;
Ce Liu
;
Xiaofang Liu
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浏览/下载:3/0
  |  
提交时间:2019/12/13
Sign
correlation
Sparse
representation
Supervised
descent
method
Face
alignment
A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition
期刊论文
Cognitive Computation, 2019
作者:
Yue, Z.
;
Gao, F.
;
Xiong, Q.
;
Wang, J.
;
Huang, T.
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浏览/下载:3/0
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提交时间:2019/12/30
Automatic target recognition
Convolution
Discriminant analysis
Image recognition
Machine learning
Matrix algebra
Neural networks
Probability
Radar imaging
Supervised learning
Synthetic aperture radar
Class probabilities
Cognitive learning
Convolutional neural network
Linear discriminant analysis
Recognition accuracy
Semi- supervised learning
Semi-supervised method
Stationary targets
Radar target recognition
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