Junbin Gao

	2012
53		Junbin Gao, Qinfeng Shi, Tibério S. Caetano: Dimensionality reduction via compressive sensing. Pattern Recognition Letters 33(9): 1163-1170 (2012)
	2011
52		Adrian Letchford, Junbin Gao, Lihong Zheng: Penalized Least Squares for Smoothing Financial Time Series. Australasian Conference on Artificial Intelligence 2011: 72-81
51		Simon K. Poon, Kei Fan, Josiah Poon, Clement Loy, Kelvin Chan, Paul W. Kwan, Xuezhong Zhou, Junbin Gao, Runsun Zhang, Yinghui Runshun, Daniel Man-yuen Sze: Analysis of herbal formulation in TCM: Infertility as a case study. BIBM Workshops 2011: 868-872
50		Geoff Bull, Junbin Gao: Classification of Hand-Written Digits Using Chordiograms. DICTA 2011: 358-363
49		Junbin Gao: Image Matting via Local Tangent Space Alignment. DICTA 2011: 614-619
48		Junbin Gao: Multi-task beta process sparse kernel machines. IJCNN 2011: 153-158
47		Yi Guo, Junbin Gao: Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) 2011: 544-554
46		Bin Tong, Junbin Gao, Nguyen Huy Thach, Einoshin Suzuki: Gaussian Process for Dimensionality Reduction in Transfer Learning. SDM 2011: 783-794
45		Simon K. Poon, Josiah Poon, Martin McGrane, Xuezhong Zhou, Paul W. Kwan, Runsun Zhang, Baoyan Liu, Junbin Gao, Clement Loy, Kelvin Chan, Daniel Man-yuen Sze: A novel approach in discovering significant interactions from TCM patient prescription data. IJDMB 5(4): 353-368 (2011)
44		Paul W. Kwan, Keisuke Kameyama, Junbin Gao, Kazuo Toraichi: Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. IJPRAI 25(5): 643-673 (2011)
	2010
43		Lennon V. Cook, Junbin Gao: Dimensionality Reduction for Classification through Visualisation Using L1SNE. Australasian Conference on Artificial Intelligence 2010: 204-212
42		Lihong Zheng, Junbin Gao, Xiangjian He: Efficient character segmentation on car license plates. ICARCV 2010: 1139-1144
41		Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul W. Kwan: Learning Gradients with Gaussian Processes. PAKDD (2) 2010: 113-124
40		Junbin Gao, Jun Zhang, David Tien: Relevance units latent variable model and nonlinear dimensionality reduction. IEEE Transactions on Neural Networks 21(1): 123-135 (2010)
39		Paul W. Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama: A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. IJPRAI 24(1): 15-38 (2010)
38		Junbin Gao, Paul W. Kwan, Daming Shi: Sparse kernel learning with LASSO and Bayesian inference algorithm. Neural Networks 23(2): 257-264 (2010)
	2009
37		Yi Guo, Junbin Gao, Paul W. Kwan: Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. Australasian Conference on Artificial Intelligence 2009: 240-249
36		Adrian O'Connor, Junbin Gao, John Louis: Termination Criteria for Evolutionary Algorithms. GEM 2009: 35-42
35		Adrian O'Connor, Junbin Gao, John Louis: Initiation of Evolutionary Algorithms. GEM 2009: 73-78
34		Paul Wing Hing Kwan, Junbin Gao, Graham Leedham: A User-Centered Framework for Adaptive Fingerprint Identification. PAISI 2009: 89-100
33		Junbin Gao, Jun Zhang: Sparse Kernel Learning and the Relevance Units Machine. PAKDD 2009: 612-619
32		Junbin Gao, Paul Wing Hing Kwan, Xiaodi Huang: Comprehensive Analysis for the Local Fisher Discriminant Analysis. IJPRAI 23(6): 1129-1143 (2009)
31		Junbin Gao, Paul Wing Hing Kwan, Yi Guo: Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing 72(4-6): 1242-1249 (2009)
	2008
30		Junbin Gao, Michael Antolovich, Paul Wing Hing Kwan: L1 LASSO Modeling and Its Bayesian Inference. Australasian Conference on Artificial Intelligence 2008: 318-324
29		Adrian O'Connor, Junbin Gao, John Louis: Using a Stochastic Funnel to find NLR Starting Values. GEM 2008: 96-102
28		Richard Yi Da Xu, Junbin Gao, Michael Antolovich: Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME 2008: 45-48
27		Yi Guo, Junbin Gao, Paul W. Kwan: Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1490-1495 (2008)
26		Junbin Gao: Robust L1 Principal Component Analysis and Its Bayesian Variational Inference. Neural Computation 20(2): 555-572 (2008)
	2007
25		Kok-Leong Ong, Wenyuan Li, Junbin Gao: Integrating Artificial Intelligence and Data Mining - Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007). December 2007. Proceedings Australian Computer Society 2007
24		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
23		Matthew Robards, Junbin Gao, Philip Charlton: A Discriminant Analysis for Undersampled Data. AIDM 2007: 11-18
22		Junbin Gao, Richard Y. Xu: Mixture of the Robust L1 Distributions and Its Applications. Australian Conference on Artificial Intelligence 2007: 26-35
21		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
20		Yi Guo, Paul Wing Hing Kwan, Junbin Gao: Twin Kernel Embedding with Back Constraints. ICDM Workshops 2007: 319-324
19		Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang: The Kernelized Geometrical Bisection Methods. ISNN (2) 2007: 680-688
18		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)
17		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)
16		Junbin Gao, Daming Shi, Xiaomao Liu: Significant vector learning to construct sparse kernel regression models. Neural Networks 20(7): 791-798 (2007)
	2006
15		Paul Wing Hing Kwan, Junbin Gao: A multi-step strategy for approximate similarity search in image databases. ADC 2006: 139-147
14		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
13		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
12		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
11		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
10		Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen: Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian Conference on AI 2004: 380-390
9		Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362
8		Junbin Gao, Fei Chen, Daming Shi: On the construction of support wavelet network. SMC (4) 2004: 3204-3207
	2003
7		Junbin Gao, Steve R. Gunn, Chris J. Harris: Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003)
6		Junbin Gao, Steve R. Gunn, Chris J. Harris: SVM regression through variational methods and its sequential implementation. Neurocomputing 55(1-2): 151-167 (2003)
	2002
5		Junbin Gao, Steve R. Gunn, Jaz S. Kandola: Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence 2002: 395-406
4		Junbin Gao, Chris J. Harris: Some remarks on Kalman filters for the multisensor fusion. Information Fusion 3(3): 191-201 (2002)
3		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
2		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)
	2000
1		Chris J. Harris, Junbin Gao: Adaptive linear finite-element method for modelling nonlinear dynamic systems. Int. J. Systems Science 31(10): 1241-1248 (2000)

Coauthor Index

1	Michael Antolovich	[28] [30]
2	Martin Brown	[3]
3	Geoff Bull	[50]
4	Kevin Burrage	[18]
5	Tibério S. Caetano	[53]
6	Shujuan Cao	[19]
7	Kelvin Chan	[45] [51]
8	Philip Charlton	[23]
9	Fei Chen	[8] [10] [13]
10	Lennon V. Cook	[43]
11	Kei Fan	[51]
12	Steve R. Gunn	[2] [3] [5] [6] [7]
13	Yi Guo	[14] [20] [21] [24] [27] [31] [37] [39] [47]
14	Chris J. Harris	[1] [2] [3] [4] [6] [7]
15	Xiangjian He	[42]
16	Xiaodi Huang	[17] [32]
17	Xinwei Jiang	[41]
18	Keisuke Kameyama	[39] [44]
19	Jaz S. Kandola	[5]
20	Paul W. Kwan	[27] [37] [38] [39] [41] [44] [45] [51]
21	Paul Wing Hing Kwan	[14] [15] [20] [21] [24] [30] [31] [32] [34]
22	Wei Lai	[17]
23	Graham Leedham (C. G. Leedham)	[34]
24	Adrian Letchford	[52]
25	Wenyuan Li	[25]
26	Baoyan Liu	[45]
27	Xiaomao Liu	[16] [19]
28	John Louis	[29] [35] [36]
29	Clement Loy	[45] [51]
30	Martin McGrane	[45]
31	Geok See Ng	[9] [13]
32	Adrian O'Connor	[29] [35] [36]
33	Kok-Leong Ong	[25]
34	Josiah Poon	[45] [51]
35	Simon K. Poon	[45] [51]
36	Matthew Robards	[23]
37	Yinghui Runshun	[51]
38	A. S. M. Sajeev	[12] [17]
39	Daming Shi	[8] [9] [10] [11] [13] [16] [38]
40	Qinfeng Shi	[53]
41	Einoshin Suzuki	[46]
42	Daniel Man-yuen Sze	[45] [51]
43	Nguyen Huy Thach	[46]
44	Tianhai Tian	[18]
45	David Tien	[40]
46	Bin Tong	[46]
47	Kazuo Toraichi	[44]
48	Kishor Vaidya	[12]
49	Tianjiang Wang	[41]
50	Richard Y. Xu	[22]
51	Richard Yi Da Xu	[28]
52	Songlin Xu	[18]
53	Daniel S. Yeung	[9] [10] [11]
54	Jun Zhang	[19] [33] [40]
55	Runsun Zhang	[45] [51]
56	Lihong Zheng	[42] [52]
57	Xuezhong Zhou	[45] [51]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page