Steve R. Gunn

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 14

Top Topics

Gradient Method

Top Venues

IEEE Control. Syst. Lett.

Publications

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)
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 (2023)
Jack Dymond, Sebastian Stein, Steve R. Gunn
Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. ECAI (2023)
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 (2023)
Jack Dymond, Sebastian Stein, Steve R. Gunn
Adapting branched networks to realise progressive intelligence. BMVC (2022)
Jia Bi, Steve R. Gunn
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization. CoRR (2021)
Jia Bi, Steve R. Gunn
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization. ECML/PKDD (3) (2021)
Albert F. H. M. Lechner, Steve R. Gunn
Product Lifecycle De-trending for Sales Forecasting. COMPLEXIS (2020)
Jia Bi, Steve R. Gunn
Sparse Deep Neural Network Optimization for Embedded Intelligence. Int. J. Artif. Intell. Tools 29 (03n04) (2020)
Jia Bi, Steve R. Gunn
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. PRICAI (2) (2019)
Jia Bi, Steve R. Gunn
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization. CoRR (2019)
Jia Bi, Steve R. Gunn
Sparse Deep Neural Networks for Embedded Intelligence. ICTAI (2018)
Yildiran Yilmaz, Steve R. Gunn, Basel Halak
Lightweight PUF-Based Authentication Protocol for IoT Devices. IVSW (2018)
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) (2017)
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)
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)
Chris Lovell, Steve R. Gunn
Towards improved theoretical problems for autonomous discovery. IJCNN (2012)
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)
Sasan Mahmoodi, Steve R. Gunn
Scale Space Smoothing, Image Feature Extraction and Bessel Filters. SCIA (2011)
Sasan Mahmoodi, Steve R. Gunn
Snake based unsupervised texture segmentation using Gaussian Markov Random Field Models. ICIP (2011)
Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner
Autonomous Experimentation. Active Learning and Experimental Design @ AISTATS (2011)
Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner
Characterising Enzymes for Information Processing: Towards an Artificial Experimenter. UC (2010)
Sándor Szedmák, Yizhao Ni, Steve R. Gunn
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables. WAPA (2010)
Chris Lovell, Gareth L. Jones, Steve R. Gunn, Klaus-Peter Zauner
An Artificial Experimenter for Enzymatic Response Characterisation. Discovery Science (2010)
Kitsuchart Pasupa, Craig Saunders, Sándor Szedmák, Arto Klami, Samuel Kaski, Steve R. Gunn
Learning to rank images from eye movements. ICCV Workshops (2009)
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)
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) (2009)
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 (4) (2009)
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) (2009)
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) (2008)
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) (2008)
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) (2008)
Jianqiang Yang, Steve R. Gunn
Exploiting Uncertain Data in Support Vector Classification. KES (3) (2007)
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) (2006)
Jeremy Rogers, Steve R. Gunn
Identifying Feature Relevance Using a Random Forest. SLSFS (2005)
Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror
Result Analysis of the NIPS 2003 Feature Selection Challenge. NIPS (2004)
Jeremy Rogers, Steve R. Gunn
Ensemble Algorithms for Feature Selection. Deterministic and Statistical Methods in Machine Learning (2004)
Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn
Classifiers Combination for Improved Motion Segmentation. ICIAR (2) (2004)
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)
Junbin Gao, Steve R. Gunn, Chris J. Harris
Mean field method for the support vector machine regression. Neurocomputing 50 (2003)
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) (2003)
Daming Shi, Robert I. Damper, Steve R. Gunn
Offline handwritten Chinese character recognition by radical decomposition. ACM Trans. Asian Lang. Inf. Process. 2 (1) (2003)
Junbin Gao, Steve R. Gunn, Chris J. Harris
SVM regression through variational methods and its sequential implementation. Neurocomputing 55 (1-2) (2003)
Ahmad Al-Mazeed, Mark S. Nixon, Steve R. Gunn
Fusing Complementary Operators to Enhance Foreground/Background Segmentation. BMVC (2003)
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) (2003)
Junbin Gao, Steve R. Gunn, Jaz S. Kandola
Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence (2002)
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) (2002)
Steve R. Gunn, Jaz S. Kandola
Structural Modelling with Sparse Kernels. Mach. Learn. 48 (1-3) (2002)
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) (2002)
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) (2002)
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) (2001)
Jun L. Chen, Steve R. Gunn, Mark S. Nixon, Roger N. Gunn
Markov Random Field Models for Segmentation of PET Images. IPMI (2001)
Daming Shi, Steve R. Gunn, Robert I. Damper
Active Radical Modeling for Handwritten Chinese Characters. ICDAR (2001)
Adam I. Wilmer, Tania Stathaki, Steve R. Gunn, Robert I. Damper
Texture analysis with the Volterra model using conjugate gradient optimisation. ESANN (2001)
Sheng Chen, Steve R. Gunn, Chris J. Harris
The relevance vector machine technique for channel equalization application. IEEE Trans. Neural Networks 12 (6) (2001)
Daming Shi, Steve R. Gunn, Robert I. Damper
A Radical Approach to Handwritten Chinese Character Recognition Using Active Handwriting Models. CVPR (1) (2001)
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) (2000)
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) (2000)
Robert I. Damper, Steve R. Gunn
Learning phonetic distinctions from speech signals. EUROSPEECH (1999)
Steve R. Gunn
On the discrete representation of the Laplacian of Gaussian. Pattern Recognit. 32 (8) (1999)
Steve R. Gunn
Edge Detection Error in the Discrete Laplacian of Gaussian. ICIP (2) (1998)
Robert I. Damper, Steve R. Gunn
On the learnability of the voicing contrast for initial stops. ICSLP (1998)
Steve R. Gunn, Mark S. Nixon
Global and Local Active Contours for Head Boundary Extraction. Int. J. Comput. Vis. 30 (1) (1998)
Steve R. Gunn, Mark S. Nixon
A Robust Snake Implementation; A Dual Active Contour. IEEE Trans. Pattern Anal. Mach. Intell. 19 (1) (1997)
Steve R. Gunn, Martin Brown, Kev M. Bossley
Network Performance Assessment for Neurofuzzy Data Modelling. IDA (1997)
M. Mohammad, E. Moore, John N. Carter, Christine H. Shadle, Steve R. Gunn
Using MRI to image the moving vocal tract during speech. EUROSPEECH (1997)
Steve R. Gunn, Mark S. Nixon
Snake head boundary extraction using global and local energy minimisation. ICPR (1996)
Steve R. Gunn, Mark S. Nixon
Improving snake performance via a dual active contour. CAIP (1995)
Steve R. Gunn, Mark S. Nixon
A Model Based Dual Active Contour. BMVC (1994)