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浏览/检索结果:
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Online Semisupervised Active Classification for Multiview PolSAR Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:
Nie, Xiangli
;
Fan, Mingyu
;
Huang, Xiayuan
;
Yang, Wenjing
;
Zhang, Bo
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/07/25
Task analysis
Feature extraction
Heuristic algorithms
Data models
Manifolds
Semisupervised learning
Training
Online active learning
online multiview learning
online semisupervised learning (SSL)
polarimetric synthetic aperture radar (PolSAR) data classification
Online Semisupervised Active Classification for Multiview PolSAR Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429
作者:
Nie, Xiangli
;
Fan, Mingyu
;
Huang, Xiayuan
;
Yang, Wenjing
;
Zhang, Bo
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/07
Task analysis
Feature extraction
Heuristic algorithms
Data models
Manifolds
Semisupervised learning
Training
Online active learning
online multiview learning
online semisupervised learning (SSL)
polarimetric synthetic aperture radar (PolSAR) data classification
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Jiang, Bo
;
Wang, Leiling
;
Cheng, Jian
;
Tang, Jin
;
Luo, Bin
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/01/27
Task analysis
Computer architecture
Semisupervised learning
Deep learning
Laplace equations
Data models
Labeling
Graph embedding
graph neural networks (GNNs)
graph propagation
semi-supervised learning
Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification
期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2021, 卷号: 17, 期号: 1, 页码: 13
作者:
Fu, Sichao
;
Liu, Weifeng
;
Guan, Weili
;
Zhou, Yicong
;
Tao, Dapeng
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  |  
浏览/下载:41/0
  |  
提交时间:2021/06/15
Graph representation learning
graph convolutional networks
semisupervised classification
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:
Mou, Lichao
;
Lu, Xiaoqiang
;
Li, Xuelong
;
Zhu, Xiao Xiang
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  |  
浏览/下载:55/0
  |  
提交时间:2020/12/21
Hyperspectral imaging
Convolution
Task analysis
Recurrent neural networks
Semisupervised learning
Support vector machines
Graph convolutional network (GCN)
hyperspectral image classification
nonlocal graph
semisupervised learning
Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 572-586
作者:
Xie, Yuan
;
Zhang, Wensheng
;
Qu, Yanyun
;
Dai, Longquan
;
Tao, Dacheng
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2020/03/30
Tensile stress
Manifolds
Encoding
Laplace equations
Semisupervised learning
Correlation
Optimization
Manifold regularization
multilinear
multiview features
nonlinear subspace clustering
tensor singular-value decomposition (t-SVD)
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 405–414
作者:
Zhang, Rui
;
Nie, Feiping
;
Li, Xuelong
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/03/20
Graph-based semisupervised learning (GSL)
quadratic trace ratio (QTR) problem
side information
soft label
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
收藏
  |  
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
Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 4
作者:
Du, Bo
;
Tang, Xinyao
;
Wang, Zengmao
;
Zhang, Lefei
;
Tao, Dacheng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/05
Graph semisupervised learning
half quadratic (HQ) optimization
maximum correntropy criterion
robust
Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion
期刊论文
IEEE Transactions on Cybernetics, 2018
作者:
Tang, Xinyao
;
Du, Bo
;
Tao, Dacheng
;
Zhang, Lefei
;
Wang, Zengmao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
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