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Chris J. Harris: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ping S. Huang, Chris J. Harris, Mark S. Nixon
    Comparing Different Template Features for Recognizing People by their Gait. [Citation Graph (0, 0)][DBLP]
    BMVC, 1998, pp:- [Conf]
  2. Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
    Extraction and Description of Moving Human Body by Periodic Motion Analysis. [Citation Graph (0, 0)][DBLP]
    Computers and Their Applications, 2002, pp:110-113 [Conf]
  3. Sheng Chen, Xia Hong, Chris J. Harris
    Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2005, pp:777-786 [Conf]
  4. X. Hong, S. Chen, C. J. Harris
    Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:106-114 [Conf]
  5. Ping S. Huang, Chris J. Harris, Mark S. Nixon
    A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1998, pp:178-182 [Conf]
  6. Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
    Model-driven statistical analysis of human gait motion. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:285-288 [Conf]
  7. Sheng Chen, Xunxian Wang, Chris J. Harris
    A Search Algorithm for Global Optimisation. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:1122-1130 [Conf]
  8. Sheng Chen, Xia Hong, Chris J. Harris
    Kernel Density Construction Using Orthogonal Forward Regression. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:586-592 [Conf]
  9. Chris J. Harris
    Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:13-14 [Conf]
  10. Jamie D. Shutler, Mark S. Nixon, Chris J. Harris
    Statistical Gait Description via Temporal Moments. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2000, pp:291-295 [Conf]
  11. Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
    Extracting Human Gait Signatures by Body Segment Properties. [Citation Graph (0, 0)][DBLP]
    SSIAI, 2002, pp:35-39 [Conf]
  12. Ping S. Huang, Chris J. Harris, Mark S. Nixon
    Recognising humans by gait via parametric canonical space. [Citation Graph (0, 0)][DBLP]
    AI in Engineering, 1999, v:13, n:4, pp:359-366 [Journal]
  13. Xia Hong, Chris J. Harris
    A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2002, v:16, n:1, pp:59-69 [Journal]
  14. Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen
    Backward Elimination Methods for Associative Memory Network Pruning. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2004, v:1, n:2, pp:90-98 [Journal]
  15. 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]
  16. J. B. Gao, Steve R. Gunn, Chris J. Harris
    SVM regression through variational methods and its sequential implementation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:151-167 [Journal]
  17. J. B. Gao, Chris J. Harris
    Some remarks on Kalman filters for the multisensor fusion. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2002, v:3, n:3, pp:191-201 [Journal]
  18. Chris J. Harris, Qiang Gan
    State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2001, v:2, n:1, pp:17-29 [Journal]
  19. 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]
  20. 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]
  21. Martin Brown, Chris J. Harris, Patrick C. Parks
    The interpolation capabilities of the binary CMAC. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1993, v:6, n:3, pp:429-440 [Journal]
  22. Sheng Chen, Xia Hong, Chris J. Harris
    Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:4, pp:1708-1717 [Journal]
  23. Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey
    Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:2, pp:898-911 [Journal]
  24. Sheng Chen, Xunxian Wang, Chris J. Harris
    Experiments with repeating weighted boosting search for optimization signal processing applications. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:4, pp:682-693 [Journal]
  25. M. Feng, Chris J. Harris
    Piecewise Lyapunov stability conditions of fuzzy systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:2, pp:259-262 [Journal]
  26. Qiang Gan, Chris J. Harris
    Fuzzy local linearization and local basis function expansion in nonlinear system modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:4, pp:559-565 [Journal]
  27. Qiang Gan, Chris J. Harris
    Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:6, pp:802-817 [Journal]
  28. Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey
    Robust nonlinear model identification methods using forward regression. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2003, v:33, n:4, pp:514-523 [Journal]

  29. Sparse Kernel Modelling: A Unified Approach. [Citation Graph (, )][DBLP]


  30. Probability Density Function Estimation Using Orthogonal Forward Regression. [Citation Graph (, )][DBLP]


  31. Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. [Citation Graph (, )][DBLP]


  32. Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. [Citation Graph (, )][DBLP]


  33. Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. [Citation Graph (, )][DBLP]


  34. Fully complex-valued radial basis function networks for orthogonal least squares regression. [Citation Graph (, )][DBLP]


  35. Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems. [Citation Graph (, )][DBLP]


  36. A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. [Citation Graph (, )][DBLP]


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