Steve R. Gunn

According to our database, Steve R. Gunn authored at least 72 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks.

Carl R. Richardson, Matthew C. Turner, Steve R. Gunn, Ross Drummond

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Errata on "Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks".

Carl R. Richardson, Matthew C. Turner, Steve R. Gunn

IEEE Control. Syst. Lett., 2023

Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks.

Carl R. Richardson, Matthew C. Turner, Steve R. Gunn

IEEE Control. Syst. Lett., 2023

Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving.

Jack Dymond, Sebastian Stein, Steve R. Gunn

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Adapting branched networks to realise progressive intelligence.

Jack Dymond, Sebastian Stein, Steve R. Gunn

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization.

Jia Bi, Steve R. Gunn

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Sparse Deep Neural Network Optimization for Embedded Intelligence.

Jia Bi, Steve R. Gunn

Int. J. Artif. Intell. Tools, 2020

Product Lifecycle De-trending for Sales Forecasting.

Albert F. H. M. Lechner, Steve R. Gunn

Proceedings of the 5th International Conference on Complexity, 2020

2019

A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization.

Jia Bi, Steve R. Gunn

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018

Lightweight PUF-Based Authentication Protocol for IoT Devices.

Yildiran Yilmaz, Steve R. Gunn, Basel Halak

Proceedings of the 3rd IEEE International Verification and Security Workshop, 2018

Sparse Deep Neural Networks for Embedded Intelligence.

Jia Bi, Steve R. Gunn

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017

Coarse-Grained Online Monitoring of BTI Aging by Reusing Power-Gating Infrastructure.

Vasileios Tenentes, Daniele Rossi, Sheng Yang, S. Saqib Khursheed, Bashir M. Al-Hashimi, Steve R. Gunn

IEEE Trans. Very Large Scale Integr. Syst., 2017

2013

Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm.

Shaona Ghosh, Chris Lovell, Steve R. Gunn

Proceedings of the Lifelong Machine Learning, 2013

2012

Exploration and Exploitation with Insufficient Resources.

Chris Lovell, Gareth L. Jones, Klaus-Peter Zauner, Steve R. Gunn

Proceedings of the Workshop on On-line Trading of Exploration and Exploitation 2, 2012

Towards improved theoretical problems for autonomous discovery.

Chris Lovell, Steve R. Gunn

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Enabling the discovery of computational characteristics of enzyme dynamics.

Gareth L. Jones, Chris Lovell, Steve R. Gunn, Hywel Morgan, Klaus-Peter Zauner

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Autonomous Experimentation.

Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner

Proceedings of the Active Learning and Experimental Design workshop, 2011

Scale Space Smoothing, Image Feature Extraction and Bessel Filters.

Sasan Mahmoodi, Steve R. Gunn

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Snake based unsupervised texture segmentation using Gaussian Markov Random Field Models.

Sasan Mahmoodi, Steve R. Gunn

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables.

Sándor Szedmák, Yizhao Ni, Steve R. Gunn

Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Characterising Enzymes for Information Processing: Towards an Artificial Experimenter.

Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner

Proceedings of the Unconventional Computation - 9th International Conference, 2010

An Artificial Experimenter for Enzymatic Response Characterisation.

Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner

Proceedings of the Discovery Science - 13th International Conference, 2010

2009

Memory Reduction Methodology for Distributed-Arithmetic-Based DWT/IDWT Exploiting Data Symmetry.

Amit Acharyya, Koushik Maharatna, Bashir M. Al-Hashimi, Steve R. Gunn

IEEE Trans. Circuits Syst. II Express Briefs, 2009

Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares.

Charanpal Dhanjal, Steve R. Gunn, John Shawe-Taylor

IEEE Trans. Pattern Anal. Mach. Intell., 2009

A signal theory approach to support vector classification: The sinc kernel.

James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo

Neural Networks, 2009

Learning to rank images from eye movements.

Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Hardware efficient fixed-point VLSI architecture for 2D Kurtotic FastICA.

Amit Acharyya, Koushik Maharatna, Jinhong Sun, Bashir M. Al-Hashimi, Steve R. Gunn

Proceedings of the 19th European Conference on Circuit Theory and Design, 2009

2008

Dexter.

Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror

Dataset, February, 2008

Gisette.

Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror

Dataset, February, 2008

Dorothea.

Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror

Dataset, February, 2008

Arcene.

Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror

Dataset, February, 2008

Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification.

Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson

IEEE Trans. Image Process., 2008

A fast separability-based feature-selection method for high-dimensional remotely sensed image classification.

Baofeng Guo, Robert I. Damper, Steve R. Gunn, James D. B. Nelson

Pattern Recognit., 2008

Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels.

James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo

Neurocomputing, 2008

2007

Exploiting Uncertain Data in Support Vector Classification.

Jianqiang Yang, Steve R. Gunn

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006

Band Selection for Hyperspectral Image Classification Using Mutual Information.

Baofeng Guo, Steve R. Gunn, Robert I. Damper, James D. B. Nelson

IEEE Geosci. Remote. Sens. Lett., 2006

Design and Analysis of the NIPS2003 Challenge.

Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Identifying Feature Relevance Using a Random Forest.

Jeremy Rogers, Steve R. Gunn

Proceedings of the Subspace, 2005

2004

Result Analysis of the NIPS 2003 Feature Selection Challenge.

Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Classifiers Combination for Improved Motion Segmentation.

Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn

Proceedings of the Image Analysis and Recognition: International Conference, 2004

Ensemble Algorithms for Feature Selection.

Jeremy Rogers, Steve R. Gunn

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

Offline handwritten Chinese character recognition by radical decomposition.

Daming Shi, Robert I. Damper, Steve R. Gunn

ACM Trans. Asian Lang. Inf. Process., 2003

Handwritten Chinese Radical Recognition Using Nonlinear Active Shape Models.

Daming Shi, Steve R. Gunn, Robert I. Damper

IEEE Trans. Pattern Anal. Mach. Intell., 2003

An Approach to Off-Line Handwritten Chinese Character Recognition Based on Hierarchical Radical Decomposition.

Daming Shi, Robert I. Damper, Steve R. Gunn

J. Quant. Linguistics, 2003

SVM regression through variational methods and its sequential implementation.

Junbin Gao, Steve R. Gunn, Chris J. Harris

Neurocomputing, 2003

Mean field method for the support vector machine regression.

Junbin Gao, Steve R. Gunn, Chris J. Harris

Neurocomputing, 2003

Nonlinear Active Handwriting Models and Their Applications to Handwritten Chinese Radical Recognition.

Geok See Ng, Daming Shi, Steve R. Gunn, Robert I. Damper

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Fusing Complementary Operators to Enhance Foreground/Background Segmentation.

Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn

Proceedings of the British Machine Vision Conference, 2003

2002

Errata to "The relevance vector machine technique for channel equalization application".

Sheng Chen, Steve R. Gunn, Chris J. Harris

IEEE Trans. Neural Networks, 2002

Handwritten Chinese character recognition using nonlinear active shape models and the Viterbi algorithm.

Daming Shi, Steve R. Gunn, Robert I. Damper

Pattern Recognit. Lett., 2002

Structural Modelling with Sparse Kernels.

Steve R. Gunn, Jaz S. Kandola

Mach. Learn., 2002

A Probabilistic Framework for SVM Regression and Error Bar Estimation.

Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown

Mach. Learn., 2002

Adapting Kernels by Variational Approach in SVM.

Junbin Gao, Steve R. Gunn, Jaz S. Kandola

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

The relevance vector machine technique for channel equalization application.

Sheng Chen, Steve R. Gunn, Chris J. Harris

IEEE Trans. Neural Networks, 2001

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces.

Junbin Gao, Chris J. Harris, Steve R. Gunn

Neural Comput., 2001

Markov Random Field Models for Segmentation of PET Images.

Jun L. Chen, Steve R. Gunn, Mark S. Nixon, Roger N. Gunn

Proceedings of the Information Processing in Medical Imaging, 2001

Active Radical Modeling for Handwritten Chinese Characters.

Daming Shi, Steve R. Gunn, Robert I. Damper

Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Texture analysis with the Volterra model using conjugate gradient optimisation.

Adam I. Wilmer, Tania Stathaki, Steve R. Gunn, Robert I. Damper

Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

A Radical Approach to Handwritten Chinese Character Recognition Using Active Handwriting Models.

Daming Shi, Steve R. Gunn, Robert I. Damper

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Linear spectral mixture models and support vector machines for remote sensing.

Martin Brown, Hugh G. Lewis, Steve R. Gunn

IEEE Trans. Geosci. Remote. Sens., 2000

Extracting Phonetic Knowledge from Learning Systems: Perceptrons, Support Vector Machines and Linear Discriminants.

Robert I. Damper, Steve R. Gunn, Mathew O. Gore

Appl. Intell., 2000

1999

On the discrete representation of the Laplacian of Gaussian.

Steve R. Gunn

Pattern Recognit., 1999

Learning phonetic distinctions from speech signals.

Robert I. Damper, Steve R. Gunn

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

1998

Global and Local Active Contours for Head Boundary Extraction.

Steve R. Gunn, Mark S. Nixon

Int. J. Comput. Vis., 1998

On the learnability of the voicing contrast for initial stops.

Robert I. Damper, Steve R. Gunn

Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Edge Detection Error in the Discrete Laplacian of Gaussian.

Steve R. Gunn

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997

A Robust Snake Implementation; A Dual Active Contour.

Steve R. Gunn, Mark S. Nixon

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Using MRI to image the moving vocal tract during speech.

Moshrefi Mohammad, E. Moore, John N. Carter, Christine H. Shadle, Steve R. Gunn

Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

Network Performance Assessment for Neurofuzzy Data Modelling.

Steve R. Gunn, Martin Brown, Kev M. Bossley

Proceedings of the Advances in Intelligent Data Analysis, 1997

1996

Snake head boundary extraction using global and local energy minimisation.

Steve R. Gunn, Mark S. Nixon

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Improving snake performance via a dual active contour.

Steve R. Gunn, Mark S. Nixon

Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

1994

A Model Based Dual Active Contour.

Steve R. Gunn, Mark S. Nixon

Proceedings of the British Machine Vision Conference, 1994