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Junbin Gao
2010 – today
- 2013
[j24]Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris: Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing 122: 210-220 (2013)- [j23]Daming Shi, Junbin Gao, P. S. Rahmdel, Michael Antolovich, Tony Clark: UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection. IEEE Transactions on Image Processing 22(6): 2500-2505 (2013)
- [c41]Yi Guo, Junbin Gao, Feng Li: Dimensionality Reduction with Dimension Selection. PAKDD (1) 2013: 508-519
- 2012
- [j22]Junbin Gao, Qinfeng Shi, Tibério S. Caetano: Dimensionality reduction via compressive sensing. Pattern Recognition Letters 33(9): 1163-1170 (2012)
- [j21]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng: Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(6): 1620-1632 (2012)
- [c40]Yi Guo, Junbin Gao, Xia Hong: Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence 2012: 433-444
- [c39]Geoff Bull, Junbin Gao: Transposed Low Rank Representation for Image Classification. DICTA 2012: 1-7
- [c38]Stephen Tierney, Junbin Gao: Natural Image Matting with Total Variation Regularisation. DICTA 2012: 1-8
- [c37]Manoranjan Paul, Junbin Gao, Michael Antolovich: 3D motion estimation for 3D video coding. ICASSP 2012: 1189-1192
- [c36]Junbin Gao, Manoranjan Paul, Jun Liu: The Image Matting Method with Regularized Matte. ICME 2012: 550-555
- [c35]Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang: Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN 2012: 1-8
- [c34]
- [c33]Md. Geaur Rahman, Md. Zahidul Islam, Terry Bossomaier, Junbin Gao: CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection. IJCNN 2012: 1-10
- 2011
- [j20]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)
- [j19]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)
- [c32]Adrian Letchford, Junbin Gao, Lihong Zheng: Penalized Least Squares for Smoothing Financial Time Series. Australasian Conference on Artificial Intelligence 2011: 72-81
- [c31]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
- [c30]Geoff Bull, Junbin Gao: Classification of Hand-Written Digits Using Chordiograms. DICTA 2011: 358-363
- [c29]
- [c28]
- [c27]Yi Guo, Junbin Gao: Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) 2011: 544-554
- [c26]Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki: Gaussian Process for Dimensionality Reduction in Transfer Learning. SDM 2011: 783-794
- 2010
- [j18]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)
- [j17]Junbin Gao, Paul W. Kwan, Daming Shi: Sparse kernel learning with LASSO and Bayesian inference algorithm. Neural Networks 23(2): 257-264 (2010)
- [j16]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)
- [c25]Lennon V. Cook, Junbin Gao: Dimensionality Reduction for Classification through Visualisation Using L1SNE. Australasian Conference on Artificial Intelligence 2010: 204-212
- [c24]Lihong Zheng, Junbin Gao, Xiangjian He: Efficient character segmentation on car license plates. ICARCV 2010: 1139-1144
- [c23]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul W. Kwan: Learning Gradients with Gaussian Processes. PAKDD (2) 2010: 113-124
2000 – 2009
- 2009
- [j15]Junbin Gao, Paul Wing Hing Kwan, Yi Guo: Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing 72(4-6): 1242-1249 (2009)
- [j14]Junbin Gao, Paul Wing Hing Kwan, Xiaodi Huang: Comprehensive Analysis for the Local Fisher Discriminant Analysis. IJPRAI 23(6): 1129-1143 (2009)
- [c22]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
- [c21]Adrian O'Connor, Junbin Gao, John Louis: Termination Criteria for Evolutionary Algorithms. GEM 2009: 35-42
- [c20]
- [c19]Paul Wing Hing Kwan, Junbin Gao, Graham Leedham: A User-Centered Framework for Adaptive Fingerprint Identification. PAISI 2009: 89-100
- [c18]
- 2008
- [j13]Junbin Gao: Robust L1 Principal Component Analysis and Its Bayesian Variational Inference. Neural Computation 20(2): 555-572 (2008)
- [j12]Yi Guo, Junbin Gao, Paul W. Kwan: Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1490-1495 (2008)
- [c17]Junbin Gao, Michael Antolovich, Paul Wing Hing Kwan: L1 LASSO Modeling and Its Bayesian Inference. Australasian Conference on Artificial Intelligence 2008: 318-324
- [c16]Adrian O'Connor, Junbin Gao, John Louis: Using a Stochastic Funnel to find NLR Starting Values. GEM 2008: 96-102
- [c15]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
- 2007
- [j11]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)
- [j10]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)
- [j9]Junbin Gao, Daming Shi, Xiaomao Liu: Significant vector learning to construct sparse kernel regression models. Neural Networks 20(7): 791-798 (2007)
- [c14]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
- [c13]Junbin Gao, Richard Y. Xu: Mixture of the Robust L1 Distributions and Its Applications. Australian Conference on Artificial Intelligence 2007: 26-35
- [c12]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
- [c11]Matthew Robards, Junbin Gao, Philip Charlton: A Discriminant Analysis for Undersampled Data. AIDM 2007: 11-18
- [c10]Yi Guo, Paul Wing Hing Kwan, Junbin Gao: Twin Kernel Embedding with Back Constraints. ICDM Workshops 2007: 319-324
- [c9]Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang: The Kernelized Geometrical Bisection Methods. ISNN (2) 2007: 680-688
- [e1]Kok-Leong Ong, Wenyuan Li, Junbin Gao (Eds.): Integrating Artificial Intelligence and Data Mining - Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007). December 2007. Proceedings. CRPIT 84, Australian Computer Society 2007, ISBN 978-1-920682-65-1
- 2006
- [j8]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)
- [c8]Paul Wing Hing Kwan, Junbin Gao: A multi-step strategy for approximate similarity search in image databases. ADC 2006: 139-147
- [c7]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
- [c6]
- 2005
- [j7]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)
- [c5]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
- 2004
- [c4]Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen: Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian Conference on AI 2004: 380-390
- [c3]Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung: Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362
- [c2]Junbin Gao, Fei Chen, Daming Shi: On the construction of support wavelet network. SMC (4) 2004: 3204-3207
- 2003
- [j6]Junbin Gao, Steve R. Gunn, Chris J. Harris: Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003)
- [j5]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
- [j4]Junbin Gao, Chris J. Harris: Some remarks on Kalman filters for the multisensor fusion. Information Fusion 3(3): 191-201 (2002)
- [j3]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)
- [c1]Junbin Gao, Steve R. Gunn, Jaz S. Kandola: Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence 2002: 395-406
- 2001
- [j2]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
- [j1]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
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last updated on 2013-10-02 11:12 CEST by the dblp team