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Junbin Gao: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    ICEC, 2005, pp:429-434 [Conf]
  2. Paul W. H. Kwan, Junbin Gao
    A multi-step strategy for approximate similarity search in image databases. [Citation Graph (0, 0)][DBLP]
    ADC, 2006, pp:139-147 [Conf]
  3. Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen
    Radial Basis Function Network Pruning by Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:380-390 [Conf]
  4. Yi Guo, Junbin Gao, Paul W. H. Kwan
    Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:1179-1183 [Conf]
  5. Junbin Gao, Steve R. Gunn, Jaz S. Kandola
    Adapting Kernels by Variational Approach in SVM. [Citation Graph (0, 0)][DBLP]
    Australian Joint Conference on Artificial Intelligence, 2002, pp:395-406 [Conf]
  6. Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung
    Critical Vector Learning to Construct RBF Classifiers. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:359-362 [Conf]
  7. Junbin Gao, Fei Chen, Daming Shi
    On the construction of support wavelet network. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3204-3207 [Conf]
  8. Tianhai Tian, Songlin Xu, Junbin Gao, Kevin Burrage
    Simulated maximum likelihood method for estimating kinetic rates in gene expression. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:1, pp:84-91 [Journal]
  9. Junbin Gao, Steve R. Gunn, Chris J. Harris
    Mean field method for the support vector machine regression. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:50, n:, pp:391-405 [Journal]
  10. Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown
    A Probabilistic Framework for SVM Regression and Error Bar Estimation. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:71-89 [Journal]
  11. Daming Shi, Fei Chen, Geok See Ng, Junbin Gao
    The construction of wavelet network for speech signal processing. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2006, v:15, n:3-4, pp:217-222 [Journal]
  12. Junbin Gao, Chris J. Harris, Steve R. Gunn
    On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:9, pp:1975-1994 [Journal]
  13. Daming Shi, Daniel S. Yeung, Junbin Gao
    Sensitivity analysis applied to the construction of radial basis function networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:7, pp:951-957 [Journal]
  14. Yi Guo, Paul W. H. Kwan, Junbin Gao
    Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:227-238 [Conf]
  15. Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang
    The Kernelized Geometrical Bisection Methods. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:680-688 [Conf]
  16. Xiaodi Huang, Wei Lai, A. S. M. Sajeev, Junbin Gao
    A new algorithm for removing node overlapping in graph visualization. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:14, pp:2821-2844 [Journal]
  17. Junbin Gao, Daming Shi, Xiaomao Liu
    Significant vector learning to construct sparse kernel regression models. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:7, pp:791-798 [Journal]

  18. L1 LASSO Modeling and Its Bayesian Inference. [Citation Graph (, )][DBLP]


  19. Mixture of the Robust L1 Distributions and Its Applications. [Citation Graph (, )][DBLP]


  20. Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. [Citation Graph (, )][DBLP]


  21. Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. [Citation Graph (, )][DBLP]


  22. A Discriminant Analysis for Undersampled Data. [Citation Graph (, )][DBLP]


  23. Twin Kernel Embedding with Back Constraints. [Citation Graph (, )][DBLP]


  24. Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. [Citation Graph (, )][DBLP]


  25. Sparse Kernel Learning and the Relevance Units Machine. [Citation Graph (, )][DBLP]


  26. Learning Gradients with Gaussian Processes. [Citation Graph (, )][DBLP]


  27. A User-Centered Framework for Adaptive Fingerprint Identification. [Citation Graph (, )][DBLP]


  28. Termination Criteria for Evolutionary Algorithms. [Citation Graph (, )][DBLP]


  29. Using a Stochastic Funnel to find NLR Starting Values. [Citation Graph (, )][DBLP]


  30. Initiation of Evolutionary Algorithms. [Citation Graph (, )][DBLP]


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