A comprehensive classification of deep learning libraries HM Pandey, D Windridge Third International Congress on Information and Communication Technology …, 2019 | 16 | 2019 |
A family of globally optimal branch-and-bound algorithms for 2D–3D correspondence-free registration M Brown, D Windridge, JY Guillemaut Pattern Recognition 93, 36-54, 2019 | 19 | 2019 |
A fluctuation analysis for optical cluster galaxies—I. Theory D Windridge, S Phillipps Monthly Notices of the Royal Astronomical Society 319 (2), 591-605, 2000 | 8 | 2000 |
A framework for automatic sports video annotation with anomaly detection and transfer learning TE De Campos, A Khan, F Yan, N FarajiDavar, D Windridge, J Kittler, ... Machine Learning and Cognitive Science, collocated with EUCOGIII, 2013 | 10 | 2013 |
A framework for hierarchical perception–action learning utilizing fuzzy reasoning D Windridge, M Felsberg, A Shaukat IEEE Transactions on Cybernetics 43 (1), 155-169, 2012 | 19 | 2012 |
A general strategy for hidden markov chain parameterisation in composite feature-spaces D Windridge, R Bowden, J Kittler Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004 | | 2004 |
A generalisable framework for saliency-based line segment detection M Brown, D Windridge, JY Guillemaut Pattern Recognition 48 (12), 3993-4011, 2015 | 22 | 2015 |
A generalised framework for saliency-based point feature detection M Brown, D Windridge, JY Guillemaut Computer Vision and Image Understanding 157, 117-137, 2017 | 8 | 2017 |
A Generalised Solution to the Problem of Multiple Expert Fusion D Windridge, J Kittler Univ. of Surrey Technical Report: VSSP-TR-5, 2000 | 6 | 2000 |
A generative adversarial network for single and multi-hop distributional knowledge base completion T Zia, D Windridge Neurocomputing 461, 543-551, 2021 | 9 | 2021 |
A generative adversarial strategy for modeling relation paths in knowledge base representation learning T Zia, U Zahid, D Windridge KR2ML-Knowledge Representation and Reasoning Meets Machine Learning Workshop …, 2019 | 2 | 2019 |
A genetic deep learning model for electrophysiological soft robotics HM Pandey, D Windridge Soft Computing Applications: Proceedings of the 8th International Workshop …, 2021 | 3 | 2021 |
A Hybrid Multi-Layer Architecture for Autonomous Vehicles Utilising a Hierarchical Perception-Action Dream Simulation Mechanism D Windridge, IAD Gunn, M Da Lio, A Mazzalai, S Thill, H Svensson, ... EUCognition Meeting 2017, 2017 | | 2017 |
A kernel-based framework for medical big-data analytics D Windridge, M Bober Interactive Knowledge Discovery and Data Mining in Biomedical Informatics …, 2014 | 20 | 2014 |
A linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception–action architectures M Shevchenko, D Windridge, J Kittler Image and Vision Computing 27 (11), 1702-1714, 2009 | 17 | 2009 |
A linguistic feature vector for the visual interpretation of sign language R Bowden, D Windridge, T Kadir, A Zisserman, M Brady Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 233 | 2004 |
A low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems AM Sazdar, SA Ghorashi, V Moghtadaiee, A Khonsari, D Windridge Journal of Information Security and Applications 53, 102515, 2020 | 9 | 2020 |
A memory architecture and contextual reasoning framework for cognitive vision J Kittler, WJ Christmas, A Kostin, F Yan, I Kolonias, D Windridge Image Analysis: 14th Scandinavian Conference, SCIA 2005, Joensuu, Finland …, 2005 | 15 | 2005 |
A model for empirical validation in self-updating cognitive representation D Windridge, J Kittler Proceedings of Brain Inspired Systems 2008 (BICS 2008), 2008 | | 2008 |
A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets M Panov, A Tatarchuk, V Mottl, D Windridge Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples …, 2011 | 4 | 2011 |