Junbin Gao

2007
20	EE	Yi Guo, Paul Wing Hing Kwan, Junbin Gao: Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. ADMA 2007: 227-238
19	EE	Junbin Gao, Richard Y. Xu: Mixture of the Robust L1 Distributions and Its Applications. Australian Conference on Artificial Intelligence 2007: 26-35
18	EE	Yi Guo, Junbin Gao, Paul Wing Hing Kwan: Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. Australian Conference on Artificial Intelligence 2007: 659-663
17	EE	Yi Guo, Paul W. Kwan, Junbin Gao: Twin Kernel Embedding with Back Constraints. ICDM Workshops 2007: 319-324
16	EE	Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang: The Kernelized Geometrical Bisection Methods. ISNN (2) 2007: 680-688
15	EE	Tianhai Tian, Songlin Xu, Junbin Gao, Kevin Burrage: Simulated maximum likelihood method for estimating kinetic rates in gene expression. Bioinformatics 23(1): 84-91 (2007)
14	EE	Xiaodi Huang, Wei Lai, A. S. M. Sajeev, Junbin Gao: A new algorithm for removing node overlapping in graph visualization. Inf. Sci. 177(14): 2821-2844 (2007)
13	EE	Junbin Gao, Daming Shi, Xiaomao Liu: Significant vector learning to construct sparse kernel regression models. Neural Networks 20(7): 791-798 (2007)
2006
12	EE	Paul Wing Hing Kwan, Junbin Gao: A multi-step strategy for approximate similarity search in image databases. ADC 2006: 139-147
11	EE	Yi Guo, Junbin Gao, Paul Wing Hing Kwan: Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. Australian Conference on Artificial Intelligence 2006: 1179-1183
10	EE	Daming Shi, Fei Chen, Geok See Ng, Junbin Gao: The construction of wavelet network for speech signal processing. Neural Computing and Applications 15(3-4): 217-222 (2006)
2005
9	EE	Kishor Vaidya, A. S. M. Sajeev, Junbin Gao: E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector. ICEC 2005: 429-434
8	EE	Daming Shi, Daniel S. Yeung, Junbin Gao: Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks 18(7): 951-957 (2005)
2004
7	EE	Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen: Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian Conference on AI 2004: 380-390
6	EE	Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362
5	EE	Junbin Gao, Fei Chen, Daming Shi: On the construction of support wavelet network. SMC (4) 2004: 3204-3207
2003
4	EE	Junbin Gao, Steve R. Gunn, Chris J. Harris: Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003)
2002
3	EE	Junbin Gao, Steve R. Gunn, Jaz S. Kandola: Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence 2002: 395-406
2		Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown: A Probabilistic Framework for SVM Regression and Error Bar Estimation. Machine Learning 46(1-3): 71-89 (2002)
2001
1		Junbin Gao, Chris J. Harris, Steve R. Gunn: On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Computation 13(9): 1975-1994 (2001)

Coauthor Index

1	Martin Brown	[2]
2	Kevin Burrage	[15]
3	Shujuan Cao	[16]
4	Fei Chen	[5] [7] [10]
5	Steve R. Gunn	[1] [2] [3] [4]
6	Yi Guo	[11] [17] [18] [20]
7	Chris J. Harris	[1] [2] [4]
8	Xiaodi Huang	[14]
9	Jaz S. Kandola	[3]
10	Paul W. Kwan	[17]
11	Paul Wing Hing Kwan	[11] [12] [18] [20]
12	Wei Lai	[14]
13	Xiaomao Liu	[13] [16]
14	Geok See Ng	[6] [10]
15	A. S. M. Sajeev	[9] [14]
16	Daming Shi	[5] [6] [7] [8] [10] [13]
17	Tianhai Tian	[15]
18	Kishor Vaidya	[9]
19	Richard Y. Xu	[19]
20	Songlin Xu	[15]
21	Daniel S. Yeung	[6] [7] [8]
22	Jun Zhang	[16]

Colors in the list of coauthors