Chris J. Harris

	2008
46		Sheng Chen, Xia Hong, Chris J. Harris: Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN 2008: 1-6
45		Sheng Chen, Chris J. Harris, Lajos Hanzo: Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems. IJCNN 2008: 13-18
44		Sheng Chen, Xia Hong, Chris J. Harris: Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN 2008: 7-12
43		Xia Hong, Sheng Chen, Chris J. Harris: A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Transactions on Neural Networks 19(1): 193-198 (2008)
42		Xia Hong, Sheng Chen, Chris J. Harris: A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Transactions on Neural Networks 19(11): 1961-1967 (2008)
41		Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. IEEE Transactions on Neural Networks 19(5): 737-745 (2008)
40		Xia Hong, Sheng Chen, Chris J. Harris: A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. Int. J. Systems Science 39(2): 119-125 (2008)
39		Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. Neural Networks 21(2-3): 358-367 (2008)
38		Sheng Chen, Xia Hong, Chris J. Harris: An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing 71(4-6): 931-943 (2008)
	2007
37		Sheng Chen, Xia Hong, Chris J. Harris: Sparse Kernel Modelling: A Unified Approach. IDEAL 2007: 27-36
36		Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. IJCNN 2007: 2486-2491
35		Sheng Chen, Xia Hong, Chris J. Harris: Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN 2007: 2492-2497
34		Xia Hong, Sheng Chen, Chris J. Harris: A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Transactions on Neural Networks 18(1): 28-41 (2007)
	2006
33		Xia Hong, Sheng Chen, Chris J. Harris: Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. ICIC (1) 2006: 106-114
32		Sheng Chen, Chris J. Harris, Xia Hong: Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. IJCNN 2006: 3358-3362
31		Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris: Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Transactions on Neural Networks 17(6): 1652-1656 (2006)
	2005
30		Sheng Chen, Xia Hong, Chris J. Harris: Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) 2005: 777-786
29		Sheng Chen, Xunxian Wang, Chris J. Harris: A Search Algorithm for Global Optimisation. ICNC (2) 2005: 1122-1130
28		Sheng Chen, Xunxian Wang, Chris J. Harris: Experiments with repeating weighted boosting search for optimization signal processing applications. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(4): 682-693 (2005)
	2004
27		Sheng Chen, Xia Hong, Chris J. Harris: Kernel Density Construction Using Orthogonal Forward Regression. IDEAL 2004: 586-592
26		Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey: Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(2): 898-911 (2004)
25		Sheng Chen, Xia Hong, Chris J. Harris: Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1708-1717 (2004)
24		Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen: Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. 1(2): 90-98 (2004)
	2003
23		Chris J. Harris: Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance. KES 2003: 13-14
22		Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey: Robust nonlinear model identification methods using forward regression. IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(4): 514-523 (2003)
21		Junbin Gao, Steve R. Gunn, Chris J. Harris: Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003)
20		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
19		Chris J. Harris, Xia Hong, Qiang Gan: Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach Springer 2002
18		Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris: Extraction and Description of Moving Human Body by Periodic Motion Analysis. Computers and Their Applications 2002: 110-113
17		Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris: Model-driven statistical analysis of human gait motion. ICIP (1) 2002: 285-288
16		Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris: Extracting Human Gait Signatures by Body Segment Properties. SSIAI 2002: 35-39
15		Xia Hong, Chris J. Harris: A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. 16(1): 59-69 (2002)
14		Junbin Gao, Chris J. Harris: Some remarks on Kalman filters for the multisensor fusion. Information Fusion 3(3): 191-201 (2002)
13		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
12		M. Feng, Chris J. Harris: Piecewise Lyapunov stability conditions of fuzzy systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 259-262 (2001)
11		Chris J. Harris, Qiang Gan: State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Information Fusion 2(1): 17-29 (2001)
10		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
9		Jamie D. Shutler, Mark S. Nixon, Chris J. Harris: Statistical Gait Description via Temporal Moments. SSIAI 2000: 291-295
8		Chris J. Harris, Junbin Gao: Adaptive linear finite-element method for modelling nonlinear dynamic systems. Int. J. System Science 31(10): 1241-1248 (2000)
	1999
7		Ping S. Huang, Chris J. Harris, Mark S. Nixon: Recognising humans by gait via parametric canonical space. AI in Engineering 13(4): 359-366 (1999)
6		Qiang Gan, Chris J. Harris: Fuzzy local linearization and local basis function expansion in nonlinear system modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(4): 559-565 (1999)
5		Qiang Gan, Chris J. Harris: Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 802-817 (1999)
	1998
4		Ping S. Huang, Chris J. Harris, Mark S. Nixon: Comparing Different Template Features for Recognizing People by their Gait. BMVC 1998
3		Ping S. Huang, Chris J. Harris, Mark S. Nixon: A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates. ICIP (3) 1998: 178-182
	1997
2		Zhi Qiao Wu, Chris J. Harris: A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems. Int. J. Systems Science 28(4): 335-345 (1997)
	1993
1		Martin Brown, Chris J. Harris, Patrick C. Parks: The interpolation capabilities of the binary CMAC. Neural Networks 6(3): 429-440 (1993)

Coauthor Index

1	Martin Brown	[1] [13] [24]
2	Sheng Chen	[22] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46]
3	M. Feng	[12]
4	Qiang Gan	[5] [6] [11] [19]
5	Junbin Gao	[8] [10] [13] [14] [20] [21]
6	Steve R. Gunn	[10] [13] [20] [21]
7	Lajos Hanzo	[36] [39] [41] [45]
8	Xia Hong	[15] [19] [22] [24] [25] [26] [27] [30] [31] [32] [33] [34] [35] [37] [38] [40] [42] [43] [44] [46]
9	Ping S. Huang	[3] [4] [7]
10	Mark S. Nixon	[3] [4] [7] [9] [16] [17] [18]
11	Patrick C. Parks	[1]
12	Paul M. Sharkey	[22] [26]
13	Jamie D. Shutler	[9]
14	Xunxian Wang	[28] [29] [31]
15	Andreas Wolfgang	[36] [39] [41]
16	Zhi Qiao Wu	[2]
17	Jang-Hee Yoo	[16] [17] [18]

Colors in the list of coauthors