Segui
Professor Junbin Gao
Professor Junbin Gao
Discipline of Business Analytics in Business School, The University of Sydney
Email verificata su sydney.edu.au
Titolo
Citata da
Citata da
Anno
Laplacian regularized low-rank representation and its applications
M Yin, J Gao, Z Lin
IEEE transactions on pattern analysis and machine intelligence 38 (3), 504-517, 2015
4472015
Multiview spectral clustering via structured low-rank matrix factorization
Y Wang, L Wu, X Lin, J Gao
IEEE transactions on neural networks and learning systems 29 (10), 4833-4843, 2018
4002018
Optimized graph convolution recurrent neural network for traffic prediction
K Guo, Y Hu, Z Qian, H Liu, K Zhang, Y Sun, J Gao, B Yin
IEEE Transactions on Intelligent Transportation Systems 22 (2), 1138-1149, 2020
3342020
Some remarks on Kalman filters for the multisensor fusion
JB Gao, CJ Harris
Information Fusion 3 (3), 191-201, 2002
2892002
Deep attention-based spatially recursive networks for fine-grained visual recognition
L Wu, Y Wang, X Li, J Gao
IEEE transactions on cybernetics 49 (5), 1791-1802, 2018
2562018
Where-and-when to look: Deep siamese attention networks for video-based person re-identification
L Wu, Y Wang, J Gao, X Li
IEEE Transactions on Multimedia 21 (6), 1412-1424, 2018
2452018
Chemometrics: from basics to wavelet transform
F Chau, Y Liang, J Gao, X Shao
Wiley-Interscience, 2004
2392004
Hierarchical graph convolution network for traffic forecasting
K Guo, Y Hu, Y Sun, S Qian, J Gao, B Yin
Proceedings of the AAAI conference on artificial intelligence 35 (1), 151-159, 2021
2222021
A review on applications of wavelet transform techniques in chemical analysis: 1989–1997
AK Leung, F Chau, J Gao
Chemometrics and Intelligent Laboratory Systems 43 (1-2), 165-184, 1998
2111998
Image segmentation for MR brain tumor detection using machine learning: a review
TA Soomro, L Zheng, AJ Afifi, A Ali, S Soomro, M Yin, J Gao
IEEE Reviews in Biomedical Engineering 16, 70-90, 2022
2052022
Neighborhood linear discriminant analysis
F Zhu, J Gao, J Yang, N Ye
Pattern Recognition 123, 108422, 2022
1962022
A probabilistic framework for SVM regression and error bar estimation
JB Gao, SR Gunn, CJ Harris, M Brown
Machine Learning 46, 71-89, 2002
1872002
Multiview subspace clustering via tensorial t-product representation
M Yin, J Gao, S Xie, Y Guo
IEEE transactions on neural networks and learning systems 30 (3), 851-864, 2018
1862018
Deep adaptive feature embedding with local sample distributions for person re-identification
L Wu, Y Wang, J Gao, X Li
Pattern Recognition 73, 275-288, 2018
1712018
Dynamic graph convolution network for traffic forecasting based on latent network of Laplace matrix estimation
K Guo, Y Hu, Z Qian, Y Sun, J Gao, B Yin
IEEE Transactions on Intelligent Transportation Systems 23 (2), 1009-1018, 2020
1652020
Deep learning models for retinal blood vessels segmentation: a review
TA Soomro, AJ Afifi, L Zheng, S Soomro, J Gao, O Hellwich, M Paul
IEEE Access 7, 71696-71717, 2019
1582019
Sparse kernel learning with LASSO and Bayesian inference algorithm
J Gao, PW Kwan, D Shi
Neural networks 23 (2), 257-264, 2010
1512010
Dual graph regularized latent low-rank representation for subspace clustering
M Yin, J Gao, Z Lin, Q Shi, Y Guo
IEEE Transactions on Image Processing 24 (12), 4918-4933, 2015
1442015
Subspace clustering for sequential data
S Tierney, J Gao, Y Guo
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1432014
Kernel sparse subspace clustering on symmetric positive definite manifolds
M Yin, Y Guo, J Gao, Z He, S Xie
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1342016
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