Steve Gunn's Bibliography

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1 Books - Authored

Dual Active Contour Models for Image Feature Extraction
S.R. Gunn
PhD thesis
University of Southampton, (Southampton, U.K.), 1996.

2 Books - Edited

3 Books - Short Works

Tracer Kinetic Modeling via Basis Pursuit
R.N. Gunn, S.R. Gunn, F.E. Turkheimer, J.A.D. Aston, and V.J. Cunningham
In M. Senda, Y. Kimura, and P. Herscovitch, editors, Brain Imaging using PET
Academic Press, 2002.
Neurofuzzy Systems Modelling: A Transparent Approach
M. Brown, S.R. Gunn, C.Y. Ng, and C.J. Harris
In K. Warwick, editor, Dealing with Complexity: A Neural Network Approach
Springer Verlag, 1997.

4 Conference Contributions - Refereed

Sparse Kernel Methods
S.R. Gunn
Proc. 13th IFAC Symposium on System Identification
(Rotterdam, Netherlands), 2003.
Fusing Complementary Operators to Enhance Foreground/Background Segmentation
A.H. Almazeed, M.S. Nixon, and S.R. Gunn
Proc. British Machine Vision Conference
(Norwich, U.K.), 2003.
Nonlinear Active Handwriting Models and their Applications to Handwritten Chinese Radical Recognition
G.S. Ng, D. Shi, S.R. Gunn, and R.I. Damper
Proc. Seventh Int. Conf. on Document Analysis and Recognition
(Edinburgh, U.K.), 2003.
A Radical Approach to Handwritten Chinese Character Recognition using Active Handwriting Models
D. Shi, S.R. Gunn, and R.I. Damper
Proc. IEEE Conf. Computer Vision and Pattern Recognition
pages 670-675, (Hawaii, U.S.A.), 2001.
A Comparison among Radical Approaches to Handwritten Chinese Character Recognition
D. Shi, S.R. Gunn, and R.I. Damper
Proc. Int. Conf. on Chinese Computing
pages 213-219, (Singapore), November 2001.
Comparison of Modelling Techniques in the Analysis of Commercial Materials Data
S.W. Christensen, P.A.S. Reed, S.R. Gunn, and I. Sinclair
Proc. Intelligent Processing and Manufacturing of Materials
(Vancouver, Canada), 2001.
Regression Models for classification to Enhance Interpretability
K.K. Lee, C.J. Harris, S.R. Gunn, and P.A.S. Reed
Proc. Intelligent Processing and Manufacturing of Materials
(Vancouver, Canada), 2001.
Classification of Imbalanced Data with Transparent Kernels
K.K. Lee, S.R. Gunn, C.J. Harris, and P.A.S. Reed
Proc. INNS-IEEE Int. Joint Conf. on Neural Networks
pages 2410-2415, (Washington, DC, U.S.A.), 2001.

97k
A New Implementation for SVM Regression based on Mean Field Analysis
J.B. Gao, S.R. Gunn, and C.J. Harris
Proc. Computational Intelligence for Modelling Control and Automation
(Las Vegas, U.S.A.), 2001.
A Model-Based Image Segmentation Framework using Labeled and Unlabeled Data
J.L. Chen, S.R. Gunn, and M.S. Nixon
Proc. Int. Conf. Advanced Concepts For Intelligent Vision Systems
pages 112-116, (Baden-Baden, Germany), July 2001.
Control Sensitivity SVM for Imbalanced Data
K.K. Lee, C.J. Harris, S.R. Gunn, and P.A.S. Reed
Proc. Int. Conf. Artificial Neural Networks and Genetic Algorithms
(Prague, Czech Republic), 2001.
Approaches to Imbalanced Data for Classification: A Case Study
K.K. Lee, C.J. Harris, S.R. Gunn, and P.A.S. Reed
Proc. Computational Intelligence Methods and Applications
(Bangor, U.K.), 2001.
Texture Analysis with the Volterra Model using Conjugate Gradient Optimisation
A.I. Wilmer, T. Stathaki, S.R. Gunn, and R.I. Damper
Proc. Nineth European Symposium on Artificial Neural Networks
pages 211-216, (Brussels, Belgium), 2001.
Modeling the Acoustic-to-Auditory Ttransformation for Stop Consonant-Vowel Syllables
R.I. Damper and S.R. Gunn
Proc. Fifth Int. Conf. on Cognitive and Neural Systems
2001.
Active Radical Modeling for Handwritten Chinese Characters
D. Shi, S.R. Gunn, and R.I. Damper
Proc. Sixth Int. Conf. on Document Analysis and Recognition
pages 236-240, (Seattle, U.S.A.), 2001.
A Case Study of SVM Extension Techniques on Classification of Imbalanced Data
K.K. Lee, C.J. Harris, S.R. Gunn, and P.A.S. Reed
Proc. Int. Conf. Neural Networks and Applications
pages 309-314, (Puerto de la Cruz, Canary islands, Spain), 2001.
A Variational Approach for Adapting Kernels in Support Vector Regression
J.B. Gao, S.R. Gunn, and J.S. Kandola
Advances in Neural Information Processing Systems (NIPS13) Kernel Workshop
(Breckenridge, CO, U.S.A.), 2000.
Assessing the Stability of Advanced Transparent Modelling Techniques
J.S. Kandola and S.R. Gunn
CRM Workshop on Combining and Selecting Models using Machine Learning Algorithms
(Montreal, Canada), 2000.
A Supervised Method for PET Reference Region Extraction
J.L. Chen, S.R. Gunn, M.S. Nixon, R.P. Myers, and R.N. Gunn
Proc. Medical Image Understanding and Analysis
pages 179-182, (London, U.K.), 2000.
The Error Bar Estimation for Soft Classification with Gaussian Process Models
J.B. Gao, C.J. Harris, S.R. Gunn, and M. Brown
Proc. ICSC Second Int. Symp. Neural Computation
(Berlin, Germany), 2000.
SUPANOVA - A Sparse, Transparent Modelling Approach
S.R. Gunn
Advances in Neural Information Processing Systems (NIPS12) Kernel Workshop
(Denver, U.S.A.), 1999.
Data Driven Knowledge Extraction of Materials Properties
J.S. Kandola, S.R. Gunn, I. Sinclair, and P.A.S. Reed
Proc. Intelligent Processing and Manufacturing of Materials
pages 361-366, (Hawaii, U.S.A.), 1999.
Learning Phonetic Distinctions from Speech Signals
R.I. Damper and S.R. Gunn
Proc. Eurospeech
pages 2675-2678, (Budapest, Hungary), 1999.

267k
SUPANOVA - A Sparse, Transparent Modelling Approach
S.R. Gunn and M. Brown
Proc. IEEE Int. Workshop on Neural Networks for Signal Processing
pages 21-30, (Madison, Wisconsin), 1999.
On The Learnability of the Voicing Contrast for Initial Stops
R.I. Damper and S.R. Gunn
Proc. Int. Conf. on Spoken Language Processing
pages 2143-2146, (Sydney, Australia), 1998.

206k
Edge Detection Error in the Discrete Laplacian of Gaussian
S.R. Gunn
Proc. IEEE Int. Conf. on Image Processing
(Chicago, U.S.A.), 1998.
Empirical Data Modelling Algorithms: Additive Spline Models and Support Vector Machines
M. Brown and S.R. Gunn
Proc. UKACC Int. Conf. on Control
(Swansea, U.K.), 1998.
Considerations on Extended Feature Vectors in Automatic Face Recognition
M.S. Nixon, L.S. Ng, D.E. Benn, and S.R. Gunn
Proc. IEEE Int. Conf. Systems, Man, and Cybernetics
Volume 5, pages 4075-4080, (Orlando, U.S.A.), 1997.
Using MRI to Image the Moving Vocal Tract during Speech
M. Mohammad, E. Moore, J.N. Carter, C.H. Shadle, and S.R. Gunn
Proc. Eurospeech
Volume 4, pages 2027-2030, (Rhodes, Greece), 1997.

451k
Snake Head Boundary Extraction using Local and Global Energy Minimisation
S.R. Gunn and M.S. Nixon
Proc. IEEE Int. Conf. on Pattern Recognition
pages 581-585, (Vienna, Austria), 1996.

220k
A Model Based Dual Active Contour
S.R. Gunn and M.S. Nixon
In E. Hancock, editor, Proc. British Machine Vision Conference
pages 305-314, (York, U.K.), 1994. BMVA Press.
A Dual Active Contour Incorporating Parametric Shape Description
S.R. Gunn and M.S. Nixon
In M. Holt, C. Cowan, P. Grant, and W. Sandham, editors, Proc. European Signal Processing
pages 435-438, (Edinburgh, U.K.), 1994.

5 Conference Contributions - Other

Kernel Feature Selection
S.R. Gunn
Proc. BCS-PAR Summer School on Pattern Recognition
(Exeter, U.K.), 2003.
Support Vector Machines
S.R. Gunn
Proc. Summer School on Neural Networks in Classification, Regression and Data Mining
(Porto, Portugal), 2003.
Sparse Kernel Methods
S.R. Gunn
Proc. ICANN Workshop on Advances in Kernel Methods for Signal Processing
(Madrid, Spain), 2002.
Support Vector Machines
S.R. Gunn
Proc. Summer School on Neural Networks in Supervised Classification and Regression
(Porto, Portugal), 2002.
Structural Modelling with Sparse Kernels
S.R. Gunn
Proc. Natural Computing Applications Forum
(Royal Holloway, U.K.), September 2001.
Sparse Kernel Learning
S.R. Gunn
Proc. Workshop on Uncertainty In Geometric Computations
(Sheffield, U.K.), July 2001.
Learning Sparse Representations
S.R. Gunn
Proc. Mini-Symposium on Model Selection and Learning in Computer Vision
(Lake District, U.K.), 2000. Rank Prize Funds.
Empirical Data Modelling with Support Vector Machines
S.R. Gunn
Proc. Workshop on Neural Networks for Remote Sensing
(Southampton, U.K.), 2000.
Support Vector Machines
S.R. Gunn
Proc. Workshop on Support Vector Machines
(University of Adelaide, Australia), 1999.
Understanding Complex Datasets
J.S. Kandola and S.R. Gunn
Young Statisticians Meeting
(Bristol, U.K.), 1999. Royal Statistical Society.
Neurofuzzy Empirical Data Modelling
S.R. Gunn, M. Brown, and C.J. Harris
What can Neural Networks offer Sensory Information Processing?
(Sira Technology Centre, Kent, U.K.), May 1998.
Neurofuzzy Model Building Algorithms
M. Brown, S.R. Gunn, D.W. Long, S. Ellacott, and C. Bouzeghoub
Proc. Neural Computing Applications Forum
(Bath, U.K.), September 1997.
Neurofuzzy Model Building Algorithms and their Application in Non-Stationary Environments
S.R. Gunn, M. Brown, and C.J. Harris
Proc. Neural Computing Applications Forum
(Edinburgh, U.K.), September 1996.
A Dual Active Contour for Head Boundary Extraction
S.R. Gunn and M.S. Nixon
Colloq. on Image Processing for Biometric Measurement
pages 6/1-4, (London, U.K.), 1994.

6 Departmental Working Papers

A Probabilistic method for estimating the similarity of Trajectories of Mobile Objects
S.R. Gunn and D.C. De Roure
Technical Report, Equator-02-048
Equator, (Southampton, U.K.), 2002.
Estimation of American Option Prices and Exercise Boundaries using the Relevance Vector Machine
P.M. Zaris and S.R. Gunn
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2001.
Exploration of Methods for Automatic Whale Identification
H. Heusel and S.R. Gunn
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2001.

956k
Project Special Brew: Supercomputing on a budget
S.R. Gunn
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2001.
A Variational Approach for Support Vector Regression based on a Probabilistic Framework
J.B. Gao, S.R. Gunn, and C.J. Harris
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.
Artificial Neural Network Typing Recognition
M. Cardle, S.R. Gunn, and A. Prügel-Bennett
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.
A Variational Bayesian Approach to Kernel-based Modelling Methods with Input Uncertainty
J.B. Gao, S.R. Gunn, and C.J. Harris
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.
Bayesian Inference Using Variational Learning - A Review
J.B. Gao, J.S. Kandola, and S.R. Gunn
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.

988k
Support Vector Machines for Classification and Regression
S.R. Gunn
Technical Report, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 1998.

7 Edited Works: Contributions

Comparison of Modelling Techniques in the Analysis of Commercial Materials Data
S.W. Christensen, P.A.S. Reed, S.R. Gunn, and I. Sinclair
In J.A. Meech, M.M. Veiga, Y. Kawazoe, and S.R. LeClair, editors, Intelligence in a Materials World
pages 49-58, (New York), 2002. CRC Press.
Adapting Kernels by Variational Approach in SVM
J.B. Gao, S.R. Gunn, and J.S. Kandola
In B. McKay and J. Slaney, editors, AI 2002: Advances in Artificial Intelligence
Volume 2557 of Lecture Notes in Artificial Intelligence, pages 395-406, (Canberra, Australia), December 2002. Springer.
Markov Random Field Models for Segmentation of PET Images
J.L. Chen, S.R. Gunn, M.S. Nixon, and R.N. Gunn
In M.F. Insana and R.M. Leahy, editors, Information Processing in Medical Imaging
Volume 2082 of Lecture Notes in Computer Science, pages 468-474. Springer, 2001.
Modelling with Support Vector Machines
S.R. Gunn
In P. Albertos and A. Sala, editors, Lecture Notes on Iterative Identification and Control Design
pages 289-321, (Valencia, Spain), 2000. European Science Foundation.

458k
Network Performance Assessment for Neurofuzzy Data Modelling
S.R. Gunn, M. Brown, and K.M. Bossley
In X. Liu, P. Cohen, and M. Berthold, editors, Intelligent Data Analysis
Volume 1208 of Lecture Notes in Computer Science, pages 313-323, 1997.

277k
Improving Snake Performance via a Dual Active Contour
S.R. Gunn and M.S. Nixon
In V. Hlavac and R. Sara, editors, Computer Analysis of Images and Patterns
Volume 970 of Lecture Notes in Computer Science, pages 600-605. Springer Verlag, 1995.

8 Editorships - Journal

9 Editorships - Newsletter

10 Journal Letters

11 Journal Papers - Academic Journals

Estimation of parametric maps from dynamic PET studies using linear least squares and rank-shaping
F.E. Turkheimer, J.A.D. Aston, R.N. Gunn, S.R. Gunn, and V.J. Cunningham
IEEE Trans. on Medical Imaging
2003 (Submitted for Publication).
A Geometrical Analysis and Efficient Algorithm for Basis Pursuit Regression
M. Brown and S.R. Gunn
Neural Computation
2003 (Submitted for Publication).
SVM Regression through Variational Methods and its Sequential Implementation
J.B. Gao, S.R. Gunn, and C.J. Harris
Neurocomputing
2003 (Accepted for Publication).
An approach to Off-Line Handwritten Chinese Character Recognition based on Hierarchical Radical Decomposition
D. Shi, R.I. Damper, and S.R. Gunn
Journal of Quantitative Linguistics
2003 (Accepted for Publication).
Modelling of Microstructural Effects in the Fatigue of Austempered Ductile Iron
P.A.S. Reed, R.C. Thomson, J.S. James, D.C. Putman, K.K. Lee, and S.R. Gunn
Materials Science and Engineering
Volume A346, pages 273-286, 2003.
Handwritten Chinese Radical Recognition using Nonlinear Active Shape Models
D. Shi, S.R. Gunn, and R.I. Damper
IEEE Trans. on Pattern Analysis and Machine Intelligence
Volume 25, number 2, pages 277-280, 2003.
Mean Field Method for the Support Vector Machine Regression
J.B. Gao, S.R. Gunn, and C.J. Harris
Neurocomputing
Volume 50, pages 391-405, 2003.

1.93M
Positron Emission Tomography Compartmental Models: A Basis Pursuit Strategy for Kinetic Modelling
R.N. Gunn, S.R. Gunn, F.E. Turkheimer, J.A.D. Aston, and V.J. Cunningham
Journal of Cerebral Blood Flow and Metabolism
Volume 22, number 12, pages 1425-1439, 2002.

1.01M
Structural Modelling with Sparse Kernels
S.R. Gunn and J.S. Kandola
Machine Learning
Volume 48, number 1, pages 137-163, 2002.
Handwritten Chinese Character Recognition using Nonlinear Active Shape Models and the Viterbi Algorithm
D. Shi, S.R. Gunn, and R.I. Damper
Pattern Recognition Letters
Volume 23, number 14, pages 1853-1862, 2002.

131k
A Probabilistic Framework for SVM Regression and Error Bar Estimation
J.B. Gao, S.R. Gunn, C.J. Harris, and M. Brown
Machine Learning
Volume 46, number 1, pages 71-89, 2002.
The Relevance Vector Machine Technique for Channel Equalization Application
S. Chen, S.R. Gunn, and C.J. Harris
IEEE Trans. on Neural Networks
Volume 12, number 6, pages 1529-1532, 2001.

947k
Positron Emission Tomography Compartmental Models
R.N. Gunn, S.R. Gunn, and V.J. Cunningham
Journal of Cerebral Blood Flow and Metabolism
Volume 21, number 6, pages 635-652, 2001.

459k
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces
J.B. Gao, C.J. Harris, and S.R. Gunn
Neural Computation
Volume 13, pages 1975-1994, 2001.
Recognition Rule Acquisition by an Advanced Extension Matrix Algorithm
D. Shi, S.R. Gunn, R.I. Damper, and W. Shu
Int. Journal of Engineering Intelligent Systems
Volume 8, number 2, pages 97-101, 2000.
Neurofuzzy and SUPANOVA Modelling of Structure-Property Relationships in Al-Zn-Mg-Cu Alloys
O.P. Femminella, M.J. Starink, S.R. Gunn, C.J. Harris, and P.A.S. Reed
Materials Science Forum
Volume 331-337, pages 1255-1260, 2000.
Adaptive Numerical Modelling of Commercial Aluminium Plate Performance
S. Christensen, J.S. Kandola, O. Femminella, S.R. Gunn, P.A.S. Reed, and I. Sinclair
Materials Science Forum
Volume 331-337, pages 533-538, 2000.
Decision Feedback Equalizer Design using Support Vector Machines
S. Chen, S.R. Gunn, and C.J. Harris
IEE Proceedings Vision, Image and Signal Processing
Volume 147, number 3, pages 213-219, 2000.
Extracting Phonetic Knowledge from Learning Systems: Perceptrons, Support Vector Machines and Linear Discriminants
R.I. Damper, S.R. Gunn, and M.O. Gore
Applied Intelligence
Volume 12, number 1-2, pages 43-62, 2000.

561k
Linear Spectral Mixture Models and Support Vector Machines for Remote Sensing
M. Brown, H.G. Lewis, and S.R. Gunn
IEEE Trans. on Geoscience and Remote Sensing
Volume 38, number 5, pages 2346-2360, 1999.
Support Vector Machines for Optimal Classification and Spectral Unmixing
M. Brown, H.G. Lewis, and S.R. Gunn
Ecological Modelling
Volume 120, pages 167-179, 1999.
On the Discrete Representation of the Laplacian of Gaussian
S.R. Gunn
Pattern Recognition
Volume 32, number 8, pages 1463-1472, 1998.

1.06M
Global and Local Active Contours for Head Boundary Extraction
S.R. Gunn and M.S. Nixon
Int. Journal of Computer Vision
Volume 30, number 1, pages 43-54, 1998.

1.13M
A Robust Snake Implementation: A Dual Active Contour
S.R. Gunn and M.S. Nixon
IEEE Trans. on Pattern Analysis and Machine Intelligence
Volume 19, number 1, pages 63-68, 1997.

12 Journal Papers - Professional Journals

13 Journal Papers - Popular Journals

14 Official Reports : Whole Report

14 Official Reports : Part of Report

15 Review Articles in Academic Publications

16 Reviews of Single Academic Books

17 Other Publications - Research

A Dual Active Contour for Improved Snake Performance
S.R. Gunn and M.S. Nixon
Research Journal, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 1995.
A Dual Active Contour Including Parameteric Shape
S.R. Gunn and M.S. Nixon
Research Journal, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 1994.

18 Other Publications - Research Equivalent

19 Other Media - Research : All Produced by Author

C++ Machine Learning Platform
S.R. Gunn
(Internal)
June 1999.
MATLAB Support Vector Machine Toolbox
S.R. Gunn
(Internet)
March 1998.
C Active Contour Toolkit
S.R. Gunn
(Internal)
December 1997.

19 Other Media - Research : Part Produced by Author

NeuFrame Neurofuzzy Module
S.R. Gunn and M. Brown
NeuSciences, (Commerical)
March 1997.
MATLAB Neurofuzzy Toolbox
K.M. Bossley, S.R. Gunn, and M. Brown
(Internal)
September 1997.

20 Other Media - Research Equivalent : All Produced by Author

20 Other Media - Research Equivalent : Part Produced by Author


357k
Electrical Power Engineering
M.C. French and S.R. Gunn
Brochure, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2001.

791k
Communications
S.R. Gunn and M.C. French
Brochure, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.

886k
Declarative Systems and Software Engineering
M.C. French and S.R. Gunn
Brochure, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.

762k
Image, Speech and Intelligent Systems
M.C. French and S.R. Gunn
Brochure, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2000.

21 Exhibitions - Solo

22 Exhibitions - Group

23 Design Practice

24 Commissions

25 Public Appearances (research-related only)

26 Consultancy

27 Citations

28 Web Sites/Web Site Design/CD-ROM

ECS Postgraduate Admissions Website
S.R. Gunn, C.J. Gutteridge, and M.C. French
World Wide Web
June 2001.

29 Other

TeX4PPT Powerpoint Plugin
S.R. Gunn
(Internet)
2003.
LaTeX Thesis, Mini-thesis, Project, Report, GDP Report, GDP Summary Report and Article Styles for the School of Electronics and Computer Science
S.R. Gunn
Manual, School of Electronics and Computer Science
University of Southampton, (Southampton, U.K.), 2001.