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## Search the dblp DataBase
Chris J. Harris:
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## Publications of Author- 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] - 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] **Sparse Kernel Modelling: A Unified Approach.**[Citation Graph (, )][DBLP]**Probability Density Function Estimation Using Orthogonal Forward Regression.**[Citation Graph (, )][DBLP]**Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems.**[Citation Graph (, )][DBLP]**Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate.**[Citation Graph (, )][DBLP]**Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.**[Citation Graph (, )][DBLP]**Fully complex-valued radial basis function networks for orthogonal least squares regression.**[Citation Graph (, )][DBLP]**Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems.**[Citation Graph (, )][DBLP]**A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.**[Citation Graph (, )][DBLP]
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