Steve R. Gunn

	2009
32		James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo: A signal theory approach to support vector classification: The sinc kernel. Neural Networks 22(1): 49-57 (2009)
	2008
31		Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson: Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification. IEEE Transactions on Image Processing 17(4): 622-629 (2008)
30		James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo: Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. Neurocomputing 72(1-3): 15-22 (2008)
29		Baofeng Guo, Robert I. Damper, Steve R. Gunn, James D. B. Nelson: A fast separability-based feature-selection method for high-dimensional remotely sensed image classification. Pattern Recognition 41(5): 1653-1662 (2008)
	2007
28		Jianqiang Yang, Steve R. Gunn: Exploiting Uncertain Data in Support Vector Classification. KES (3) 2007: 148-155
	2006
27		Craig Saunders, Marko Grobelnik, Steve R. Gunn, John Shawe-Taylor: Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers Springer 2006
	2005
26		Jeremy Rogers, Steve R. Gunn: Identifying Feature Relevance Using a Random Forest. SLSFS 2005: 173-184
	2004
25		Jeremy Rogers, Steve R. Gunn: Ensemble Algorithms for Feature Selection. Deterministic and Statistical Methods in Machine Learning 2004: 180-198
24		Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn: Classifiers Combination for Improved Motion Segmentation. ICIAR (2) 2004: 363-371
23		Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror: Result Analysis of the NIPS 2003 Feature Selection Challenge. NIPS 2004
	2003
22		Geok See Ng, Daming Shi, Steve R. Gunn, Robert I. Damper: Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition. ICDAR 2003: 534-
21		Daming Shi, Robert I. Damper, Steve R. Gunn: Offline handwritten Chinese character recognition by radical decomposition. ACM Trans. Asian Lang. Inf. Process. 2(1): 27-48 (2003)
20		Daming Shi, Steve R. Gunn, Robert I. Damper: Handwritten Chinese Radical Recognition Using Nonlinear Active Shape Models. IEEE Trans. Pattern Anal. Mach. Intell. 25(2): 277-280 (2003)
19		Daming Shi, Robert I. Damper, Steve R. Gunn: An Approach to Off-Line Handwritten Chinese Character Recognition Based on Hierarchical Radical Decomposition. Journal of Quantitative Linguistics 10(1): 41-69 (2003)
18		Junbin Gao, Steve R. Gunn, Chris J. Harris: Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003)
17		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
16		Junbin Gao, Steve R. Gunn, Jaz S. Kandola: Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence 2002: 395-406
15		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)
14		Steve R. Gunn, Jaz S. Kandola: Structural Modelling with Sparse Kernels. Machine Learning 48(1-3): 137-163 (2002)
13		Daming Shi, Steve R. Gunn, Robert I. Damper: Handwritten Chinese character recognition using nonlinear active shape models and the Viterbi algorithm. Pattern Recognition Letters 23(14): 1853-1862 (2002)
	2001
12		Daming Shi, Steve R. Gunn, Robert I. Damper: A Radical Approach to Handwritten Chinese Character Recognition Using Active Handwriting Models. CVPR (1) 2001: 670-675
11		Adam I. Wilmer, Tania Stathaki, Steve R. Gunn, Robert I. Damper: Texture analysis with the Volterra model using conjugate gradient optimisation. ESANN 2001: 211-216
10		Daming Shi, Steve R. Gunn, Robert I. Damper: Active Radical Modeling for Handwritten Chinese Characters. ICDAR 2001: 236-240
9		Jun L. Chen, Steve R. Gunn, Mark S. Nixon, Roger N. Gunn: Markov Random Field Models for Segmentation of PET Images. IPMI 2001: 468-474
8		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
7		Robert I. Damper, Steve R. Gunn, Mathew O. Gore: Extracting Phonetic Knowledge from Learning Systems: Perceptrons, Support Vector Machines and Linear Discriminants. Appl. Intell. 12(1-2): 43-62 (2000)
	1999
6		Steve R. Gunn: On the discrete representation of the Laplacian of Gaussian. Pattern Recognition 32(8): 1463-1472 (1999)
	1998
5		Steve R. Gunn: Edge Detection Error in the Discrete Laplacian of Gaussian. ICIP (2) 1998: 515-519
4		Steve R. Gunn, Mark S. Nixon: Global and Local Active Contours for Head Boundary Extraction. International Journal of Computer Vision 30(1): 43-54 (1998)
	1997
3		Steve R. Gunn, Martin Brown, Kev M. Bossley: Network Performance Assessment for Neurofuzzy Data Modelling. IDA 1997: 313-323
2		Steve R. Gunn, Mark S. Nixon: A Robust Snake Implementation; A Dual Active Contour. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 63-68 (1997)
	1995
1		Steve R. Gunn, Mark S. Nixon: Improving snake performance via a dual active contour. CAIP 1995: 600-605

Coauthor Index

1	Ahmad Al-Mazeed	[24]
2	Asa Ben-Hur	[23]
3	Kev M. Bossley	[3]
4	Martin Brown	[3] [15]
5	Jun L. Chen	[9]
6	Robert I. Damper	[7] [10] [11] [12] [13] [19] [20] [21] [22] [29] [30] [31] [32]
7	Gideon Dror	[23]
8	Junbin Gao	[8] [15] [16] [17] [18]
9	Mathew O. Gore	[7]
10	Marko Grobelnik	[27]
11	Roger N. Gunn	[9]
12	Baofeng Guo	[29] [30] [31] [32]
13	Isabelle Guyon	[23]
14	Chris J. Harris	[8] [15] [17] [18]
15	Jaz S. Kandola	[14] [16]
16	James D. B. Nelson	[29] [30] [31] [32]
17	Geok See Ng	[22]
18	Mark S. Nixon	[1] [2] [4] [9] [24]
19	Jeremy Rogers	[25] [26]
20	Craig Saunders	[27]
21	John Shawe-Taylor	[27]
22	Daming Shi	[10] [12] [13] [19] [20] [21] [22]
23	Tania Stathaki	[11]
24	Adam I. Wilmer	[11]
25	Jianqiang Yang	[28]

Colors in the list of coauthors