Professor Junbin Gao
Professor Junbin Gao
Discipline of Business Analytics in Business School, The University of Sydney
Verified email at - Homepage
TitleCited byYear
Some remarks on Kalman filters for the multisensor fusion
JB Gao, CJ Harris
Information Fusion 3 (3), 191-201, 2002
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
Chemometrics: from basics to wavelet transform
F Chau, Y Liang, J Gao, X Shao
Wiley-Interscience, 2004
A probabilistic framework for SVM regression and error bar estimation
JB Gao, SR Gunn, CJ Harris, M Brown
Machine Learning 46 (1-3), 71-89, 2002
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, 2016
Simulated maximum likelihood method for estimating kinetic rates in gene expression
T Tian, S Xu, J Gao, K Burrage
Bioinformatics 23 (1), 84-91, 2006
Robust L1 principal component analysis and its Bayesian variational inference
J Gao
Neural computation 20 (2), 555-572, 2008
Sensitivity analysis applied to the construction of radial basis function networks
D Shi, DS Yeung, J Gao
Neural networks 18 (7), 951-957, 2005
Application of the fast wavelet transform method to compress ultraviolet-visible spectra
FT Chau, TM Shih, JB Gao, CK Chan
Applied spectroscopy 50 (3), 339-348, 1996
Wavelet transform: a method for derivative calculation in analytical chemistry
AK Leung, F Chau, J Gao
Analytical Chemistry 70 (24), 5222-5229, 1998
MATLAB 5. 0 语言与程序设计
华中理工大学出版社, 1999
Subspace clustering for sequential data
S Tierney, J Gao, Y Guo
Proceedings of the IEEE conference on computer vision and pattern …, 2014
Application of wavelet transform in infrared spectrometry: spectral compression and library search
AK Leung, F Chau, J Gao, T Shih
Chemometrics and intelligent laboratory systems 43 (1-2), 69-88, 1998
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
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
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification
L Wu, Y Wang, X Li, J Gao
Pattern Recognition 76, 727-738, 2018
Mean field method for the support vector machine regression
JB Gao, SR Gunn, CJ Harris
Neurocomputing 50, 391-405, 2003
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, 2018
A new algorithm for removing node overlapping in graph visualization
X Huang, W Lai, ASM Sajeev, J Gao
Information Sciences 177 (14), 2821-2844, 2007
Robust latent low rank representation for subspace clustering
H Zhang, Z Lin, C Zhang, J Gao
Neurocomputing 145, 369-373, 2014
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