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ORCIDSteve R. Gunn
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- affiliation: University of Southampton, UK
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2020 – today
- 2024
[c40]Carl R. Richardson, Matthew C. Turner, Steve R. Gunn, Ross Drummond:
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks. L4DC 2024: 209-221- 2023
- [j27]Carl R. Richardson
, Matthew C. Turner, Steve R. Gunn:
Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks. IEEE Control. Syst. Lett. 7: 2635-2640 (2023) - [j26]Carl R. Richardson, Matthew C. Turner, Steve R. Gunn:
Errata on "Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks". IEEE Control. Syst. Lett. 7: 3132 (2023) - [c39]Jack Dymond, Sebastian Stein, Steve R. Gunn:
Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. ECAI 2023: 613-620 - 2022
- [c38]Jack Dymond, Sebastian Stein, Steve R. Gunn:
Adapting branched networks to realise progressive intelligence. BMVC 2022: 990 - 2021
- [c37]Jia Bi, Steve R. Gunn:
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization. ECML/PKDD (3) 2021: 135-150 - [i2]Jia Bi, Steve R. Gunn:
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization. CoRR abs/2102.09893 (2021) - 2020
- [j25]Jia Bi, Steve R. Gunn:
Sparse Deep Neural Network Optimization for Embedded Intelligence. Int. J. Artif. Intell. Tools 29(03n04): 2060002:1-2060002:26 (2020) - [c36]Albert F. H. M. Lechner, Steve R. Gunn:
Product Lifecycle De-trending for Sales Forecasting. COMPLEXIS 2020: 25-33
2010 – 2019
- 2019
- [c35]Jia Bi, Steve R. Gunn:
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. PRICAI (2) 2019: 337-349 - [i1]Jia Bi, Steve R. Gunn:
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. CoRR abs/1905.05185 (2019) - 2018
- [c34]Jia Bi, Steve R. Gunn:
Sparse Deep Neural Networks for Embedded Intelligence. ICTAI 2018: 30-38 - [c33]Yildiran Yilmaz, Steve R. Gunn, Basel Halak:
Lightweight PUF-Based Authentication Protocol for IoT Devices. IVSW 2018: 38-43 - 2017
- [j24]Vasileios Tenentes, Daniele Rossi, Sheng Yang, S. Saqib Khursheed, Bashir M. Al-Hashimi, Steve R. Gunn:
Coarse-Grained Online Monitoring of BTI Aging by Reusing Power-Gating Infrastructure. IEEE Trans. Very Large Scale Integr. Syst. 25(4): 1397-1407 (2017) - 2013
- [c32]Shaona Ghosh, Chris Lovell, Steve R. Gunn:
Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm. AAAI Spring Symposium: Lifelong Machine Learning 2013 - 2012
- [c31]Gareth L. Jones, Chris Lovell, Steve R. Gunn, Hywel Morgan, Klaus-Peter Zauner:
Enabling the discovery of computational characteristics of enzyme dynamics. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c30]Chris Lovell, Steve R. Gunn:
Towards improved theoretical problems for autonomous discovery. IJCNN 2012: 1-8 - [c29]Chris Lovell, Gareth L. Jones, Klaus-Peter Zauner, Steve R. Gunn:
Exploration and Exploitation with Insufficient Resources. ICML On-line Trading of Exploration and Exploitation 2012: 37-61 - 2011
- [c28]Sasan Mahmoodi, Steve R. Gunn:
Snake based unsupervised texture segmentation using Gaussian Markov Random Field Models. ICIP 2011: 3353-3356 - [c27]Sasan Mahmoodi, Steve R. Gunn:
Scale Space Smoothing, Image Feature Extraction and Bessel Filters. SCIA 2011: 625-634 - [c26]Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner:
Autonomous Experimentation. Active Learning and Experimental Design @ AISTATS 2011: 141-155 - 2010
- [c25]Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner:
An Artificial Experimenter for Enzymatic Response Characterisation. Discovery Science 2010: 42-56 - [c24]Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner:
Characterising Enzymes for Information Processing: Towards an Artificial Experimenter. UC 2010: 81-92 - [c23]Sándor Szedmák, Yizhao Ni, Steve R. Gunn:
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. WAPA 2010: 96-102
2000 – 2009
- 2009
- [j23]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) - [j22]Charanpal Dhanjal, Steve R. Gunn, John Shawe-Taylor:
Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1347-1361 (2009) - [j21]Amit Acharyya, Koushik Maharatna, Bashir M. Al-Hashimi, Steve R. Gunn:
Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry. IEEE Trans. Circuits Syst. II Express Briefs 56-II(4): 285-289 (2009) - [c22]Amit Acharyya, Koushik Maharatna, Jinhong Sun, Bashir M. Al-Hashimi, Steve R. Gunn:
Hardware efficient fixed-point VLSI architecture for 2D Kurtotic FastICA. ECCTD 2009: 165-168 - [c21]Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn:
Learning to rank images from eye movements. ICCV Workshops 2009: 2009-2016 - 2008
- [j20]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) - [j19]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 Recognit. 41(5): 1653-1662 (2008) - [j18]Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson:
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification. IEEE Trans. Image Process. 17(4): 622-629 (2008) - [d4]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Arcene. UCI Machine Learning Repository, 2008
- [d3]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Dorothea. UCI Machine Learning Repository, 2008 - [d2]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Gisette. UCI Machine Learning Repository, 2008 - [d1]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Dexter. UCI Machine Learning Repository, 2008 - 2007
- [c20]Jianqiang Yang, Steve R. Gunn:
Exploiting Uncertain Data in Support Vector Classification. KES (3) 2007: 148-155 - 2006
- [j17]Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson:
Band Selection for Hyperspectral Image Classification Using Mutual Information. IEEE Geosci. Remote. Sens. Lett. 3(4): 522-526 (2006) - [p1]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Design and Analysis of the NIPS2003 Challenge. Feature Extraction 2006: 237-263 - [e2]Isabelle Guyon, Masoud Nikravesh, Steve R. Gunn, Lotfi A. Zadeh:
Feature Extraction - Foundations and Applications. Studies in Fuzziness and Soft Computing 207, Springer 2006, ISBN 978-3-540-35487-1 [contents] - [e1]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. Lecture Notes in Computer Science 3940, Springer 2006, ISBN 3-540-34137-4 [contents] - 2005
- [c19]Jeremy Rogers, Steve R. Gunn:
Identifying Feature Relevance Using a Random Forest. SLSFS 2005: 173-184 - 2004
- [c18]Jeremy Rogers, Steve R. Gunn:
Ensemble Algorithms for Feature Selection. Deterministic and Statistical Methods in Machine Learning 2004: 180-198 - [c17]Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn:
Classifiers Combination for Improved Motion Segmentation. ICIAR (2) 2004: 363-371 - [c16]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Result Analysis of the NIPS 2003 Feature Selection Challenge. NIPS 2004: 545-552 - 2003
- [j16]Junbin Gao, Steve R. Gunn, Chris J. Harris:
Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003) - [j15]Junbin Gao, Steve R. Gunn, Chris J. Harris:
SVM regression through variational methods and its sequential implementation. Neurocomputing 55(1-2): 151-167 (2003) - [j14]Daming Shi, Robert I. Damper, Steve R. Gunn:
An Approach to Off-Line Handwritten Chinese Character Recognition Based on Hierarchical Radical Decomposition. J. Quant. Linguistics 10(1): 41-69 (2003) - [j13]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) - [j12]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) - [c15]Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn:
Fusing Complementary Operators to Enhance Foreground/Background Segmentation. BMVC 2003: 1-10 - [c14]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- - 2002
- [j11]Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown:
A Probabilistic Framework for SVM Regression and Error Bar Estimation. Mach. Learn. 46(1-3): 71-89 (2002) - [j10]Steve R. Gunn, Jaz S. Kandola:
Structural Modelling with Sparse Kernels. Mach. Learn. 48(1-3): 137-163 (2002) - [j9]Daming Shi, Steve R. Gunn, Robert I. Damper:
Handwritten Chinese character recognition using nonlinear active shape models and the Viterbi algorithm. Pattern Recognit. Lett. 23(14): 1853-1862 (2002) - [j8]Sheng Chen, Steve R. Gunn, Chris J. Harris:
Errata to "The relevance vector machine technique for channel equalization application". IEEE Trans. Neural Networks 13(4): 1024 (2002) - [c13]Junbin Gao, Steve R. Gunn, Jaz S. Kandola:
Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence 2002: 395-406 - 2001
- [j7]Junbin Gao, Chris J. Harris, Steve R. Gunn:
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Comput. 13(9): 1975-1994 (2001) - [j6]Sheng Chen, Steve R. Gunn, Chris J. Harris:
The relevance vector machine technique for channel equalization application. IEEE Trans. Neural Networks 12(6): 1529-1532 (2001) - [c12]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 - [c11]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 - [c10]Daming Shi, Steve R. Gunn, Robert I. Damper:
Active Radical Modeling for Handwritten Chinese Characters. ICDAR 2001: 236-240 - [c9]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 - 2000
- [j5]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) - [j4]Martin Brown, Hugh G. Lewis, Steve R. Gunn:
Linear spectral mixture models and support vector machines for remote sensing. IEEE Trans. Geosci. Remote. Sens. 38(5): 2346-2360 (2000)
1990 – 1999
- 1999
- [j3]Steve R. Gunn:
On the discrete representation of the Laplacian of Gaussian. Pattern Recognit. 32(8): 1463-1472 (1999) - [c8]Robert I. Damper, Steve R. Gunn:
Learning phonetic distinctions from speech signals. EUROSPEECH 1999: 2675-2678 - 1998
- [j2]Steve R. Gunn, Mark S. Nixon:
Global and Local Active Contours for Head Boundary Extraction. Int. J. Comput. Vis. 30(1): 43-54 (1998) - [c7]Steve R. Gunn:
Edge Detection Error in the Discrete Laplacian of Gaussian. ICIP (2) 1998: 515-519 - [c6]Robert I. Damper, Steve R. Gunn:
On the learnability of the voicing contrast for initial stops. ICSLP 1998 - 1997
- [j1]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) - [c5]Steve R. Gunn, Martin Brown, Kev M. Bossley:
Network Performance Assessment for Neurofuzzy Data Modelling. IDA 1997: 313-323 - [c4]Moshrefi Mohammad, E. Moore, John N. Carter, Christine H. Shadle, Steve R. Gunn:
Using MRI to image the moving vocal tract during speech. EUROSPEECH 1997: 2027-2030 - 1996
- [c3]Steve R. Gunn, Mark S. Nixon:
Snake head boundary extraction using global and local energy minimisation. ICPR 1996: 581-585 - 1995
- [c2]Steve R. Gunn, Mark S. Nixon:
Improving snake performance via a dual active contour. CAIP 1995: 600-605 - 1994
- [c1]Steve R. Gunn, Mark S. Nixon:
A Model Based Dual Active Contour. BMVC 1994: 1-10
Coauthor Index
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