Dr. David Windridge
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Introduction
I am a Senior Research Fellow at the CVSSP with research interests centring on Cognitive Systems and Machine Learning (and previous research interests in Cosmology/Astrophysics).
I have authored and played a leading role on a number of cognitive systems projects (including, most recently, EPSRC ACASVA and EU FP7 DIPLECS), as well as a range of industrial and academic pattern recognition projects, having authored more than 50 peer-reviewed publications. I currently lecture the First-Order Logic Theorem Proving AI Masters module.
Recent News
As part of a collaboration I'm with involved in with the Minimal Access Therapy Training Unit, Surrey University recently demonstrated the world's first remote 3d keyhole surgery. An interview can be found here link.
Other media coverage can be found in: The Engineer link, Daily Mail link, Public Service Magazine link
I recently co-hosted and organized the Workshop on Models of Driver Intentionality for Intelligent Vehicle Technology link
Some hobby-related links:
Airbourne
Ski weather
Recent Research Collaborations
2009-2013: ACASVA EPSRC Foresight Grant (acting as Project Coordinator)
2007-2010: DIPLECS (co-investigator, EU framework 7) Dynamic Interactive Perception-Action Learning in Cognitive Systems
2004-2007: COSPAL (EU framework 6) Cognitive Systems using Perception-Action Learning
2005-2007: PRINCESS (INTAS) Principles of Dissimilarity-Based Pattern Recognition in Signals and Symbolic Sequences
2004-2005: VAMPIRE (EU framework 5) Visual Active Memory Processes and Interactive Retrieval
2002-2004: COGVISYS (EU framework 5) Cognitive Vision Systems
2001-2004: Stochastic Vector Quantisation Framework Classifier Fusion (as Principle Investigator - in collaboration with QinetiQ)
Ph.D. Supervision
Current Students:
Affan Shaukat
Aftab Khan
Debaditya Goswami
Ralph Smith
Former Students:
Gergely Rakoczi (Erasmus exchange)
Mikhail Schevchenko
Robin Patenall
Papers Outlining Main Methodological Contributions
1
D. Windridge and Josef Kittler,
A Morphologically Optimal Strategy for Classifier Combination,
Indicative Publications
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 25, no. 3, March 2003, pp. 343-353
link
pdf
2
David Windridge,
Morphologically Debiased Classifier Fusion: A Tomography-Theoretic Approach,
Advances in Imaging and Electron Physics, vol 134, 2005, Elsevier Academic Press
(A detailed account of the above technique as a method for removing morphological bias commissioned by Elsevier)
link
pdf
3
D. Windridge and R. Bowden,
Hidden Markov chain estimation and parameterisation via ICA-based feature-selection,
Pattern Analysis & Applications, July 2005, vol. 8, pp 115-124,
Publisher: Springer-Verlag London Ltd
link
pdf
4
D. Windridge and S. Phillipps, A Fluctuation Analysis for Optical
Cluster Galaxies - I Theory,
MNRAS
(Mon. Not. Roy. Astron. Soc), 319, p. 591, 11/2000
(A stochastic technique for dark-matter detection)
link
pdf
5
D. Windridge and J. Kittler, Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents,
Applications of Computational Intelligence in Biology: Current Trends and Open Problems, Studies in Computational Intelligence (SCI),
vol(122), 2008, Springer, ISBN: 978-3-540-78533-0
(A philosophical exposition on the limits to self-updating cognitive representation arising from this 2005 survey on Cognitive Bootstrapping)
link
pdf
6
D. Windridge and J. Kittler, Perception-Action Learning as an
Epistemologically-Consistent Model
for Self-Updating Cognitive
Representation,
Brain Inspired Cognitive Systems (special
issue), Advances in Experimental Medicine and Biology 657, 2010,
DOI 10.1007/978-0-387-79100-5_6, Springer-Verlag, New York
(An application of the above ideas, demonstrating the practical performance benefits)
pdf
7
Mikhail Shevchenko, David Windridge and Josef Kittler,
A Linear-Complexity Reparametrisation Strategy for the Hierarchical Bootstrapping of Capabilities within Percept-Action Architectures,
Image and Vision Computing, 27, 2009, pp 1702-1714
link
pdf
8
N. Poh and D. Windridge and V. Mottl and A. Tatarchuk and
A. Eliseyev,
Addressing Missing Values in Kernel-based Multimodal Biometric Fusion using Neutral Point Substitution
In IEEE Trans. on Information Forensics and Security, 2010
(A theoretical outline of the kernel-based neutral point substitution
method applied to Biometrics)
(Book chapters, Journal Papers, Conference papers, Technical reports, Theses)
[57] - Onwards refer CVSSP publication archive, University of Surrey, UK.
[56] Shuichiro Taya and David Windridge and Josef Kittler and Magda Osman,
Investigating the Influence of Task-Specic Goals on Attention Allocation and
Eye Movement Behavior While Viewing a Dynamic Scene,
In 51st Annual Meeting of the Psychonomic Society, 2010
[55] I Almajai, F Yan, T de Campos, A Khan, W Christmas, D Windridge and J Kittler,
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation
In Proceedings of DIRAC Workshop, European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases
In Proc. of ECML PKDD 2010, 2010
[54] I Almajai and J Kittler and T DeCampos and W. Christmas and F Yan and D Windridge and A Khan,
Ball Event Recognition using HMM for Automatic Tennis Annotation,
In Proceedings of Intl. Conf. on Image Proc., 2010
[53] Aftab Khan and David Windridge and Teofilo de Campos and Josef Kittler and William Christmas,
Lattice-based Anomaly Rectification for Sport Video Annotation
In Proceedings of ICPR 2010, 2010
[52] N. Poh and D. Windridge and V. Mottl and A. Tatarchuk and A. Eliseyev, Addressing Missing Values in Kernel-based Multimodal Biometric Fusion using Neutral Point Substitution In IEEE Trans. on Information Forensics and Security, 2010
[51] I Almajai and J Kittler and T DeCampos and W. Christmas and F Yan and D Windridge and A Khan,
Ball Event Recognition Using HMMs For Automatic Tennis Annotation
In Proceedings of Intl. Conf. on Image Proc., 2010
[50] Affan Shaukat and David Windridge and Erik Hollnagel and Luigi Macchi,
Adaptive, Perception-Action-based Cognitive Modelling of Human Driving Behaviour Using Control, Gaze and Signal Inputs
In Proceedings of Brain Inspired Cognitive Systems 2010 (BICS 2010), 2010
[49] Affan Shaukat and David Windridge and Erik Hollnagel and Luigi Macchi,
Induction of the Human Perception-Action Hierarchy Employed in Junction-Navigation Scenarios
In Proc. of 4th International Conference on Cognitive Systems, CogSys 2010, ETH Zurich. Switzerland, January 27 - 28, 2010, 2010
[48] Alexander Tatarchuk and Eugene Urlov and Vadim Mottl and David Windridge,
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
In Proc. Multiple Classifier Systems, 9th International Workshop, MCS 2010, 2010
[47] D Windridge and J Kittler,
Perception-Action Learning as an Epistemologically-Consistent Model for Self-Updating Cognitive Representation
In Advances in Experimental Medicine and Biology, 2010;657:95-134.
[46] M Felsberg and A Shaukat and D Windridge,
Online Learning in Perception-Action Systems
In Proceedings of ECCV 2010 Workshop on Vision for Cognitive Tasks, 11th European Conference on Computer Vision (ECCV 2010), Crete, Greece, 2010
[45] David Windridge,
Tomographic Considerations in Ensemble Bias/Variance Decomposition
In Proc. Multiple Classifier Systems, 9th International Workshop, MCS 2010, 2010
[44] Alexander Tatarchuk, Valentina Sulimova, David Windridge, Vadim Mottl,
Supervised Selective Combining Pattern Recognition Modalities and its Application to Signature Verification by Fusing On-Line and Off-Line Kernels,
8th International Workshop on Multiple Classifier Systems MCS 2009, Reykjavik, 2009.
[43] D. Windridge, N. Poh, V. Mottl, A. Tatarchuk, A. Eliseyev,
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method,
8th International Workshop on Multiple Classifier Systems MCS 2009, Reykjavik, 2009.
[42] Mikhail Shevchenko, David Windridge and Josef Kittler,
A Linear-Complexity Reparametrisation Strategy for the Hierarchical Bootstrapping of Capabilities within Percept-Action Architectures,
Image and Vision Computing, 27, 2009, pp 1702-1714
[41] D. Windridge, V. Mottl, A. Tatarchuk, A. Eliseyev,
Selectivity Supervision in Combining Pattern-Recognition Modalities
by Feature- and Kernel-Selective Support Vector Machines
Proc. 19th International Conference of Pattern Recognition, ICPR 2008, Florida, USA
[40] David Windridge, Debaditya Goswami, Josef Kittler,
Subsurface Scattering Deconvolution for Improved NIR-Visible Facial Image Correlation,
Proc. of 8th IEEE International Conference on Automatic Face and Gesture Recognition, 2008
[39] David Windridge, Josef Kittler,
A model for empirical validation in self-updating cognitive representation,
Proceedings of Brain Inspired Cognitive Systems 2008 (BICS 2008), Sao Luis, Brazil, 2008
[38] David Windridge, Mikhail Shevchenko, Josef Kittler
An Entropy-Based Approach to the Hierarchical Acquisition of Perception-
Action Capabilities
Proc. of 4th International Cognitive Vision Workshop ICVW 2008,
(6th International Conference on Computer Vision Systems ICVS 2008), Santorini, Greece, 2008
[37] Article relating to the DIPLECS project arising from an interview I gave to the The Engineer magazine: link
[36] D. Windridge and Josef Kittler,
Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents,
Applications of Computational Intelligence in Biology: Current Trends and Open Problems,
Studies in Computational Intelligence (SCI),
vol(122), 2008, Springer, ISBN: 978-3-540-78533-0
[35] D. Windridge, V. Mottl, A. Tatarchuk. and A Eliseyev,
The Neutral Point Method for Kernel-Based Combination of Disjoint Training in Multi-Modal Pattern Recognition,
Proceedings of the 7th International Workshop on Multiple Classifier Systems, May, 2007, Springer
[34] D Windridge and J Kittler,
Open-Ended Inference of Relational Representations in the COSPAL Perception-Action Architecture,
Proc. of International Cognitive Vision Workshop (ICVW 2007),
part of 5th International Conference on Computer Vision Systems (ICVS 2007), 2007, Springer
[33] D Windridge, R Patenall and J Kittler,
Factoriality as an Indicator of Stochastic Vector Quantiser Generalising Ability,
CVSSP Technical Report VSSP-TR-5/2007, University of Surrey, UK, 2007
[32] D. Windridge, V. Mottl, A. Tatarchuk. and A Eliseyev,
The Relationship Between Kernel And Classifier Fusion In Kernel-Based Multi-Modal Pattern Recognition:
An Experimental Study,
Proceedings of the International Conference on Machine Learning and Cybernetics 2007 (ICMLC 2007),
August, 2007, Hong Kong, China
[31] J Kittler, M Shevchenko and D Windridge,
Visual Bootstrapping for Unsupervised Symbol Grounding,
Proceedings of 8th Advanced Concepts for Intelligent Vision Systems International Conference, September, 2006,
Springer, eds. J Blanc-Talon and W Philips and D Popescu and P Scheunders, pp 1037-1046
[30] J Kittler, M Shevchenko and D Windridge,
Cognitive Learning with Automatic Goal Acquisition,
Frontiers in Artificial Intelligence and Applications - Third Standing AI Researcher's Symposium, 2006,,
IOS Press, August, eds. L Penserini and P Peppas and A Perini, vol 142, isbn 978-1-58603-645-4.
[29] Bowden R, Ellis L, Kittler J, Shevchenko M, Windridge D.,
Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision,
(Lecture Notes in Computer Science, Vol. 3617, Sept 2005)
[28] D Windridge,
Cognitive Bootstrapping: A Survey of Bootstrap Mechanisms for Emergent Cognition,
CVSSP Technical Report VSSP-TR-2/2005, University of Surrey, UK, 2005. pdf
[27] Josef Kittler, William J. Christmas, Alexey Kostin, F. Yan, Ilias Kolonias, David Windridge,
A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision,
(Lecture Notes in Computer Science, Vol. 3540, June 2005)
[26] David Windridge,
Morphologically Debiased Classifier Fusion: A Tomography-Theoretic Approach,
Advances in Imaging and Electron Physics, vol 134, 2005, Elsevier Academic Press
[25] D. Windridge, R. Bowden,
Hidden Markov chain estimation and parameterisation via ICA-based feature-selection,
Pattern Analysis & Applications, July 2005, vol. 8, pp 115-124,
Publisher: Springer-Verlag London Ltd
[24] David Windridge, Josef Kittler,
Performance Measures of the Tomographic Classifier Fusion Methodology,
Intern. Jrnl. of Pattern Recognition and Artificial Intelligence, Vol. 19
Number 6, 2005
[23] Robin Patenall, David Windridge, Josef Kittler,
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers
Lecture Notes in Computer Science, Vol. 3541, p. 128, June 2005
[22] David Windridge, Robin Patenall, Josef Kittler,
The Relationship Between Classifier Factorisation and Performance
in Stochastic Vector Quantisation
(Lecture Notes in Computer Science, Vol. 3077, June 2004)
[21] D. Windridge, R. Bowden,
Induced Decision Fusion in Automated Sign Language Interpretation:
Using ICA to Isolate the Underlying Components of Sign
(Lecture Notes in Computer Science, Vol. 3077, June 2004)
[20] D. Windridge, R. Bowden, Josef Kittler,
A General Strategy for Hidden Markov Chain Parameterisation in
Composite
Feature-Spaces
(Lecture Notes in Computer Science, Vol. 3138, August 2004)
[19] Richard Bowden, David Windridge, Timor Kadir, Andrew Zisserman, Michael Brady,
A Linguistic Feature Vector for the Visual Interpretation of Sign Language,
European Conference on Computer Vision 2004,
(Lecture Notes in Computer Science, Vol. 3024, pp390)
[18] D. Windridge,
On the Generalisation of Gaussian Mixture Model HMM Parameterisation Techniques,
(Univ. of Surrey Technical Report: VSSP-TR-1/2004), UNIS, UK
[17] D. Windridge, Josef Kittler,
A Morphologically Optimal Strategy for Classifier Combination,
IEEE PAMI, Vol 25, no. 3, March 2003, pp. 343-353
[16] D. Windridge,
Economic Tomographic Classifier Fusion: Eliminating Redundant Hö gbom
Deconvolution Cycles
in the Sum-Rule Domain
(Univ. of Surrey Technical Report: VSSP-TR-1/2003)
[15] D. Windridge, Josef Kittler,
The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion,
4th International Workshop on Multiple Classifier Systems, 2003,
(LNCS. Vol. 2709, pp. 166 - 175, June 2003)
[14] Josef Kittler, Alireza Ahmadyfard, David Windridge,
Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output
Coding,
4th International Workshop on Multiple Classifier Systems, 2003,
(LNCS. Vol. 2709, pp. 106 - 114, June 2003)
[13] D. Windridge,Josef Kittler,
Morphologically Unbiased Classifier Combination Through Graphical PDF
Correlation,
LNCS 2396, August 2002
[12] D. Windridge,Josef Kittler,
On the General Application of the Tomographic Classifier Fusion Methodology,
LNCS. Vol. 2364, June 2002
[11] Kittler J, Yusoff Y, Christmas W, Windeatt T, Windridge D,
Boosting Multiple Experts by Joint Optimisation of Decision Thresholds,
Pattern Recognition and Image Analysis 11(3), 2001, pp 529-541.
[10] D. Windridge,Josef Kittler,
Classifier Combination as a Tomographic Process,
(Multiple Classifier Systems, LNCS. Vol. 2096 , 2001.)
[9] D. Windridge, S. Phillipps,
A Fluctuation Analysis for Optical Cluster Galaxies - I Theory,
MNRAS (Mon. Not. Roy. Astron. Soc), 319, p. 591, 11/2000
[8] D. Windridge,Josef Kittler,
Combined Classifier Optimisation via Feature Selection,
Advances
in Pattern Recognition, LNCS. Vol. 1876, August 2000.
[7] D. Windridge,
A Generalised Solution to the Problem of Multiple Expert Fusion.
(Univ. of Surrey Technical Report: VSSP-TR-5/2000)
[6] D. Windridge,
A Fluctuation Analysis for Optical Cluster Galaxies, Ph.D. Thesis, University of Bristol, 1999
[5] Groot, P. J.; Galama, T. J.; Vreeswijk, P. M.; Wijers, R. A. M. J.; Pian, E.; Palazzi, E.; van Paradijs,
J.; Kouveliotou, C.; in 't Zand, J. J. M.; Heise, J.; Robinson, C.; Tanvir, N.; Lidman, C.; Tinney, C.;
Keane, M.; Briggs, M.; Hurley, K.; Gonzalez, J.-F.; Hall, P.; Smith, M. G.; Covarrubias, R.; Jonker, P.; Casares, J.;
Frontera, F.; Feroci, M.; Piro, L.; Costa, E.; Smith, R.; Jones, B.; Windridge, D.; Bland-Hawthorn, J.; Veilleux, S.;
Garcia, M.; Brown, W. R.; Stanek, K. Z.; Castro-Tirado, A. J.; Gorosabel, J.; Greiner, J.; Jaeger, K.; Bohm, A. B.;
Fricke, K. J.
The Rapid Decay of the Optical Emission from GRB 980326 and Its Possible Implications,
Astrophysical Journal v.502, August 1998, p.L123 08/1998
[4] Cruikshank, D. P.; Gladman, B.; Smith, R. M.; Jones, J. B.; Windridge, D.; Hall, P.; Graham, D.; Kavelaars, J. J.;
Williams, G. V.; Aksnes, K.; Marsden, B. G.
S/1997 U 1: Precovery and recovery observations of this satellite are reported:
Circular of the Int. Astron. Union., 6870, 1 (1998). 04/1998
[3] Smith, R. M.; Jones, J. B.; Windridge, D.; Gladman, B.; Hall, P.; Graham, D.; Kavelaars, J. J.;
Williams, G. V.; Aksnes, K.; Marsden, B. G.
S/1997 U 2: The recovery of the brighter of the new Uranian satellites is reported
Circular of the Int. Astron. Union., 6869, 1 (1998). 04/1998
[3] Windridge, D.; Phillipps, S.; Birkinshaw, M.
Measures of Galactic and Intergalactic Mass in Clusters.
(P.A.S.P. Proceedings of I.A.U. Symp. No. 179. 1997)
[2] Windridge, D.; Phillipps, S.
The Baryonic and Dark Matter Contribution to Cluster Masses by Dwarf
Galaxies.
(Proceedings of Astronomical Society of the
Pacific, July 1996, p. 329-334.)
[1] Windridge, D, MERLIN observation of the gravitational lens system MG0414+0534,
1996, Research Report,
University of Manchester (Nuffield Radio Astronomy Laboratories)
