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Linear Representation-Based Methods for Image Classification: A Survey Journal article
IEEE Access, 2020,Volume: 8,Page: 216645-216670
Authors:  Zhou,Jianhang;  Zeng,Shaoning;  Zhang,Bob
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/11
Image Classification  Linear Representation  Optimization  
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation Conference paper
International Conference on Information and Knowledge Management, Proceedings, Ireland, October 19–23, 2020
Authors:  Yajun Huang;  Jingbin Zhang;  Yiyang Yang;  Zhiguo Gong;  Zhifeng Hao
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Big Data  Graph Neural Networks  High-dimensional Data  Neural Networks  Semi-supervised Learning  Visualization  
Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework Journal article
Knowledge-Based Systems, 2020,Volume: 198
Authors:  Liang,Pengfei;  Deng,Chao;  Wu,Jun;  Yang,Zhixin;  Zhu,Jinxuan;  Zhang,Zihan
Favorite |  | TC[WOS]:11 TC[Scopus]:13 | Submit date:2021/03/11
Adversarial learning  Continuous wavelet transform  Fault diagnosis  Gearbox  Simultaneous  Single  
Extreme semi-supervised learning for multiclass classification Journal article
Neurocomputing, 2020,Volume: 376,Page: 103-118
Authors:  Chen,Chuangquan;  Gan,Yanfen;  Vong,Chi Man
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2021/03/11
Alternating optimization  Approximate empirical kernel map  Extreme learning machine  Multiclass classification  Semi-supervised support vector machine  
Class-Specific Reconstruction Transfer Learning for Visual Recognition across Domains Journal article
IEEE Transactions on Image Processing, 2019,Volume: 29,Page: 2424-2438
Authors:  Wang,Shanshan;  Zhang,Lei;  Zuo,Wangmeng;  Zhang,Bob
Favorite |  | TC[WOS]:19 TC[Scopus]:20 | Submit date:2021/03/11
Cross-domain Learning  Image Classification  Semi-supervised Learning  Transfer Learning  
Semi-supervised anti-fraud models for cash pre-loan in internet consumer finance Conference paper
Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019, Taipei, Taiwan, 6-9 May 2019
Authors:  Sun,Wanlin;  Chen,Ming;  Ye,Jie Xia;  Zhang,Yuhang;  Xu,Cheng Zhong;  Zhang,Yangqing;  Wang,Yaonan;  Wu,Wen;  Zhang,Peng;  Qu,Feipeng
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Cash Pre-loan  Fraud Detection  Internet Consumer Finance  Semi-supervised Learning  
Hypergraph p-Laplacian Regularization for Remotely Sensed Image Recognition Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2019,Volume: 57,Issue: 3,Page: 1585 - 1595
Authors:  Xueqi Ma;  Weifeng Liu;  Shuying Li;  Dapeng Tao;  Yicong Zhou
Favorite |  | TC[WOS]:52 TC[Scopus]:30 | Submit date:2019/03/26
Hypergraph  Manifold Learning  P-laplacian  Remote Sensing  Semi-supervised Learning  
A Semi-Supervised Fault Diagnosis Framework for a Gearbox Based on Generative Adversarial Nets Conference paper
2018 IEEE 8th International Conference on Underwater System Technology: Theory and Application, USYS 2018
Authors:  Liang,Pengfei;  Deng,Chao;  Wu,Jun;  Yang,Zhixin;  Wang,Yuanhang
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2021/03/11
fast Fourier transform  Fault diagnosis  gearbox  generative adversarial nets  semi-supervised  
p-Laplacian Regularization for Indoor Scene Recognition Journal article
IEEE Transactions on Cybernetics, 2018,Page: 1 - 14
Authors:  Weifeng Liu;  Xueqi Ma;  Yicong Zhou;  Dapeng Tao;  Jun Cheng
Favorite |  | TC[WOS]:70 TC[Scopus]:40 | Submit date:2019/03/26
Laplacian Regularization (Lapr)  Manifold Learning  P-laplacian  Scene Recognition  Semi-supervised Learning (Ssl)  
Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System Journal article
REMOTE SENSING, 2018,Volume: 10,Issue: 5
Authors:  Kong, Yi;  Wang, Xuesong;  Cheng, Yuhu;  Chen, C. L. Philip
Favorite |  | TC[WOS]:41 TC[Scopus]:45 | Submit date:2018/10/30
hyperspectral imagery  classification  broad learning  semi-supervised  class-probability structure