PAPERS         T. WINDEATT

 

1992-4

 

Tai A, Kittler J, Petrou M, Windeatt T, Vanishing Point detection In: Hogg D, Boyle R ed. British Machine Vision Conference 1992. London, UK: Springer-Verlag, 1992, pp109-118.
 

Tai A, Kittler J, Petrou M, Windeatt T, Vanishing Point detection, Image and Vision Computing, IVC 11,April, 1993, pp 240-245.


Windeatt T, Tebbs R, Functionality constraints in perceptron training, In: Allison N, ed. Proc. of Weightless Neural Net Workshop 93, Univ of York, UK, April, 1993, pp1-8.
 

Tebbs R, Windeatt T, An alternative approach to neural classification problems, In: Gelsema E, Kanal L eds, 'Pattern Recognition in Practice IV, Multiple Paradigms, Comparative Studies and Hybrid Systems' Elsevier, 1994, pp337-346.
 

Tebbs R, Windeatt T, Analytical feature extraction and hidden layer neural network training, In: Proc. of International Symposium on Integration of Knowledge and Neural Heuristics, AAAI, Univ of Florida, May, 1994, pp153-162.


 

Hilton H, Stoddart A, Illingworth J, Windeatt T, Automatic inspection of loaded printed circuit boards using 3D range data, Machine Vision Applications in Industrial Inspection II, PROC. SPIE, Vol 2183, 1994, pp 226-237.
 

Hilton A, Illingworth J, Windeatt T, Statistics of Surface Curvature Estimates, In: Proceedings of the 12th IAPR International Conf on Pattern Recognition, California, USA: IEEE Computer Society Press, 1994, pp37-41. 
 

Stoddart A, Illingworth J, Windeatt T,Optimal parameter selection for derivative estimation from range images, In: Hancock E ed. Proceedings of the 5th British Machine Vision Conference. Sheffield, UK: BMVA Press, 1994, pp165-174.
 
 

1995-6
 

Hilton ADM, Illingworth, Windeatt T. Statistics of surface curvature estimates. Pattern Recognition, 1995, 28(8), pp1201-1222.
 

Stoddart A, Illingworth J, Windeatt T,Optimal parameter selection for derivative estimation in range images,Image and Vision Computing IVC 13(8), 1995,pp629-635.
 

Windeatt T., Tebbs R., Perceptron training improvements using functionality constraints. In: Proceedings of the 12th European Conference on Circuit Theory and Design, Istanbul, Turkey: Istanbul Technical University, 1995, pp679-682. 
 

Windeatt T, Tebbs R, Analytical Feature Extraction and Spectral Summation, In: Proc. of 13th IAPR International Conference on Pattern Recognition, Vienna, Austria, August 1996, Vol IV, pp 315-319.
 

Griffin A, Kittler J, Windeatt T, Matas G, Techniques for the interpretation of thermal paint coated samples, Proc. of 13th IAPR International Conference on Pattern Recognition, Vienna, Austria, August 1996, Vol III, pp 315-319.
 

Hilton,A., Stoddart,A.J., Illingworth,J., Windeatt, T. Marching triangles: range image fusion for complex object modelling, IEEE International Conference on Image Processing, Ed. P. Delogne, Lausanne, Switzerland, 1996, Vol II pp381-384.
 

Hilton,A., Stoddart,A.J., Illingworth,J., Windeatt, T. Building 3D Models of Complex Objects, 14th Eurographics Conference, ed R. Raby et al, London, March 26, 1996, vol 1, pp 193-204.
 

Hilton,A., Stoddart,A.J., Illingworth,J., Windeatt,T., Reliable surface reconstruction from multiple range images, Fourth European Conference on Computer Vision, , eds B.Buxton, R. Cipolla, Cambridge, 1996, pp 117-126.
 

Hilton,A., Stoddart,A.J., Illingworth,J. and Windeatt,T.,Implicit surface based geometric fusion, 16th Leeds Annual Statistical Workshop , Leeds, UK, July 3, 1996, pp 155-162. 
 

Hilton,A., Stoddart,A.J., Illingworth,J. and Windeatt,T., Reconstruction of 3D Delaunay surface models of complex objects, IEEE International Conference on Systems, Man and Cybernetics, 1996,pp 2445-2450.
 

1997-8
 

Windeatt T., Tebbs R., Spectral technique for hiddenlayer neural network training, Pattern Recognition Letters, 1997, Vol. 18, No. 8, pp723-731. prl97.pdf++
 

Kittler J., Hojjatoleslami A., Windeatt T., Strategies for combining classifiers employing shared and distinct pattern representations,Pattern Recognition Letters, 1997, Vol. 18, No. 11-13, pp1373-1377. 

Crida R.C., Stoddart A.J.,Griffin A., Windeatt T., A statistical estimation procedure for thermochromic paint, IAPR Statistical Techniques in Pattern Recognition Workshop, 9-11 June, Prague, 1997, pp 25-30. CVSSP online

Kittler J., Hojjatoleslami A.,Windeatt T., Weighting factors in multiple expert fusion, British MachineVision Conference BMVC97, Essex University, 8-11 Sept, 1997, pp 41-50 

 

Hilton,A.,Stoddart,A.J., Illingworth,J., Windeatt,T., Implicit surface based geometric fusion, Computer Vision and Image Understanding, 1998, Vol. 69, No. 3, pp273-291

Griffin A, Windeatt T, Stoddart AJ, Kittler J & Crida R. A Markov Random Field Approach to interpreting thermochromic paint, Proc. of 14th IAPR Int. Conf. On Pattern Recognition, Brisbane, Australia1998, Vols 1 & 2, pp 1741-1743.


 

Windeatt T, Ghaderi R, Dynamic Weighting Factors for Decision Combining, Proc. of IEE Int. Conf. On Data Fusion, Great Malvern, UK, October 1998, pp 123-130.
 

1999-2000
 
 

Windeatt T., Ghaderi R., Adaboost and Neural Networks, European Symposium on Artificial Neural Networks ESANN99, Bruges, Apr 22-24, 1999, pp 123-128.  ESANN website
 

Windeatt T., Spectral Partitioning for Boundary Estimation, Int. Joint Conference on Neural Networks, IJCNN99, Washington DC, 1999, no. 7033. ijcnn99.pdf %%$$
 

Windeatt T., O'Brien J (Eds), Int. Conf. On Data Fusion, Eurofusion 99, Stratford-upon-Avon, UK, 5-7 Oct. 1999, Joliver Press, ISBN 0 95337132 0 2.
 

Windeatt T., Ghaderi R., Binary codes for multi-class decision combining, Sensor Fusion:Architectures, Algorithms and Applications IV, Orlando, Florida, April 2000, SPIE, pp 23-34.
 

Ghaderi R., Windeatt T., Circular perturbing of Error Correcting output codes, 5th Int. Conf. In Computer Science,Tehran, Iran, April 2000, pp 92-97.
 

Windeatt T, Classifier Instability and partitioning, Proc. 1st Int. Workshop Multiple Classifier Systems, Cagliari, Italy, June 2000, Lecture notes in computer science, Springer-Verlag, pp 260-269. mcs00.pdf **
 

Ghaderi R., Windeatt T. Circular ECOC, a theoretical and experimental analysis, Int. Conf. Pattern Recognition,Barcelona, September 3-7 2000, pp 203-206 .
 

Windeatt T., Ghaderi R., Multi-class learning and error-correcting code sensitivity, Electronics Letters 36(19), September 2000, pp1630-1632. elet00.pdf ##
 
 

2001-02
 

Windeatt T., Ardeshir G., Boosting unpruned and pruned decision trees, Proc. of the IASTED Int. Symposia, Applied Informatics, Innsbruck, Austria, Feb 19-22, 2001, pp 66-71.
 

Windeatt T., Recursive Partitioning for combining multiple classifiers, Neural Processing Letters 13(3), June 2001, pp 221-236. nrpl.pdf ++
 

Windeatt T., Ghaderi R., Binary labelling and Decision Level Fusion, Information Fusion 2(2), 2001, pp103-112. if01.pdf ++
 

Ghaderi R., Windeatt T., Least Squares and Estimation Measures via Error Correcting Output Code, Proc. of 2nd Int. Workshop Multiple Classifier Systems, Cambridge, UK July 2-4, 2001, Lecture notes in computer science, Springer-Verlag, pp 148-157. mcs01.pdf **
 

Windeatt T., Ardeshir G., An empirical comparison of pruning methods for ensemble classifiers, Proc. of Int. Conf Intelligent Data Analysis, Sept 13-15, 2001, Lisbon, Portugal, Lecture notes in computer science, Springer-Verlag, pp 208-217. ida01.pdf **
 

Kittler J, Ghaderi R, Windeatt T, Matas G., Face Verification via ECOC, British Machine Vision Conference, BMVC01, Sept, 2001, Birmingham, UK, pp 593-602.
 

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.
 

Kittler J, Ghaderi R, Windeatt T, Matas G., Face Verification using Error Correcting Output Codes, Computer Vision and Pattern Recognition CVPR01, Hawaii, December 2001, pp 755-760. cvpr01.pdf%%
 

J Kittler and R Ghaderi and T Windeatt and J Matas , Face identification and verification via ECOC,  Third Int. Conf. Audio- and Video-Based Biometric Person Authentication,  Halmstad, June 2001, pp 1-13.
 

 Windeatt T. and Ghaderi R., Code selection for output coding, Iranian Journal of Electrical and Computer Engineering, 1(1), 2002, pp 34-40.
 

Windeatt T. and Ghaderi R., Binary strings and multi-class learning problems,  chapter in book: Pattern Recognition and String Matching, in D. Chen X. Cheng (eds), Book Series: Combinatorial Optimisation Vol 13, Kluwer, ISBN 1-4020-0953-4, 2002. klu.pdf$$
 

Windeatt T., Ardeshir G., Tree Pruning for Output Coded Ensembles, Int. Conf. Pattern Recognition, ICPR02,  Quebec, Canada,  August 2002, pp 92-95. 327_windeatt_t.pdf %%
 

Windeatt T., Ardeshir G.,  Boosted Tree Ensembles for Solving Multiclass Problems, Proc. 3rd Int. Workshop Multiple Classifier Systems, Cagliari, Italy, June  2002, Lecture notes in computer science, Springer-Verlag, pp 42-51.  mcs02.pdf **

Windeatt T. , Ghaderi R. and Ardeshir G. ,   Error Correcting Output Coding for MCS, Proc. of International Conf. on Optical Communications and Multimedia, Gwangju, S. Korea, Nov. 2002, pp 9-18.

2003 - 2007

Windeatt T. and Ghaderi R., Coding and Decoding Strategies for multiclass learning problems, Information Fusion, 4(1), 2003, pp 11-21.  if02.pdf ++

Windeatt T., Ardeshir G.,  Decision Tree Simplification for Classifier Ensembles Int. J. Pattern Recognition and Artificial Intelligence, 18 (5), 2004, 749-776.    ijprai02.pdf^^

Windeatt T, Vote Counting Measures for Ensemble Classifiers, Pattern Recognition, 36(12), 2003, pp 2743-2756.    patrec.pdf++

Windeatt T, Ghaderi R, Ardeshir G Spectral Coefficients and Classifier Correlation, Proc. 4th Int. Workshop Multiple Classifier Systems, Editors: T. Windeatt, F. Roli Guildford, Surrey, UK, June 11-13 2003,  Lecture notes in computer science, Springer-Verlag, pp 273-282.

Windeatt T, Ardeshir G, Boosted ECOC ensembles for face recognition, Proc. IEE Conf Visual Information Engineering , July 2003, Univ. of Surrey, pp 165-168.

Editors: T. Windeatt, F. Roli ,Proc. 4th Int. Workshop Multiple Classifier Systems, Guildford, Surrey, UK, June 11-13 2003,  Lecture notes in computer science, Springer-Verlag.
 
J. Kittler, R. Ghaderi, T. Windeatt and J. Matas Face verification via error correcting output codes, Image and Vision Computing, Volume 21, Issues 13-14, 1 December 2003, Pages 1163-1169.

T. Windeatt, Diversity Measures for Multiple Classifier System Analysis and Design, Information Fusion, 6 (1), 2004, 21-36.    if04.pdf++

T. Windeatt, Spectral Measure for Multi-class Problems,  Proc. 5th Int. Workshop Multiple Classifier Systems, Editors:  F. Roli, J. Kittler, T. Windeatt, Cagliari, Italy, June, 2004,  Lecture notes in computer science, Springer-Verlag, 184-193 .

S. Hauger, T. Windeatt, ECOC and Boosting with Multi-Layer Perceptrons, 17th Int. Conf. Pattern Recognition, ICPR04, Cambridge, UK, 23-26 Aug, 2004, Vol III, 458-461.

T. Windeatt, Diversity/Accuracy and Ensemble Classifier Design, 17th Int. Conf. Pattern Recognition, ICPR04, Cambridge, UK, 23-26 Aug, 2004, Vol III, 454-457.

T. Windeatt, Accuracy/ Diversity and Ensemble Classifier Design, IEEE Trans Neural Networks, 17(4), July, 2006. transnn07.pdf%%

R. S. Smith, T. Windeatt,  Decoding Rules for ECOC, Proc. 6th Int. Workshop Multiple Classifier Systems, Editors: N. C. Oza, R. Polikar, J. Kittler, F. Roli, Seaside, Calif, USA, June  2005,  Lecture notes in computer science, Springer-Verlag, pp 53-63.

M. Prior, T. Windeatt,  Over-fitting in Ensembles of Neural Network Classifiers within ECOC frameworks, Proc. 6th Int. Workshop Multiple Classifier Systems, Editors: N. C. Oza, R. Polikar, J. Kittler, F. Roli, Seaside, Calif, USA, June  2005,  Lecture notes in computer science, Springer-Verlag, pp 286-295.

M. Prior, T. Windeatt, Random Forests and Feature Selection, 6th Int. Conf. on Recent Advances in Soft Computing, RASC06, Canterbury, U.K. July, 2006.

M. Prior, T. Windeatt, Parameter Tuning using Out-of-Bootstrap Generalisation Error Estimate for Stochastic Discrimination and Random Forests, 18th Int. Conf. Pattern Recognition ICPR06, Hong Kong, August 2006, 498-501.

T. Windeatt, Ensemble Neural Classifier Design for Face Recognition, European Symposium on Artificial Neural Networks, 15th European Symposium on Artificial Neural; Networks, ESANN2007, Bruges, April 2007, 373-378.

T. Windeatt, M. Prior, Stopping Criteria for Ensemble-based Feature Selection, Proc. 7th Int. Workshop Multiple Classifier Systems, Prague May 2007,  Lecture notes in computer science, Springer-Verlag, 271-281.

T. Windeatt, M. Prior, N. Efron, N. Intrator, Ensemble-based Feature Selection Criteria, Proc. Conference on Machine Learning Data Mining MLDM2007, Leipzig, July 2007, ISBN 9783940501004, 168-182.

M. Prior, T. Windeatt An ensemble dependence measure, Proc Int. Conf Artificial Neural Networks, ICANN07, Porto, Portugal, Sept 2007, Lecture notes in computer science, Springer-Verlag 2007(4668), . ICANN (1) 2007: 329-338.

 

2008ff

T. Windeatt, Ensemble MLP Classifier Design, chapter in book: Studies in Computational Intelligence, Vol. 137/2008, Springer Verlag Berlin Heidelberg, 2008, 133-147. > 01370133.pdf%%

T. Windeatt, K. Dias, Feature ranking ensembles for facial action unit classification, Third IAPR workshop, Artificial Neural Networks in Pattern Recognition, Paris, 2008, Springer Verlag Berlin Heidelberg, LNAI 5064, 267-279.

T. Windeatt, R S Smith, K. Dias, Weighted Decoding ECOC for facial action unit classification, Workshop on Supervised and Unsupervised Ensemble Methods and their Applications, European Conf. Artificial Intelligence, Patras, Greece, 2008, 26-30.

T. Windeatt, K. Dias, Ensemble approaches to facial action unit classification, 13th Iberoamerican Congress on Pattern Recognition, Sept 2008, Springer Verlag Berlin Heidelberg, LNCS 5197, 551-559.

 

 

T. Windeatt, Ensemble approaches to facial action unit classification,

C. Zor, T. Windeatt: Upper Facial Action Unit Recognition. ICB 2009, Int. Conf. Biometrics, Sardinia,  June 2009, 239-248.

R. S. Smith, T. Windeatt: The Bias Variance Trade-Off in Bootstrapped Error Correcting Output Code Ensembles. 8th Int. Workshop Multiple Classifier Systems, Iceland, June 2009,  Lecture notes in computer science, Springer-Verlag, LNCS 5519, 1-10.

M. Prior, T. Windeatt, Improved Uniformity Enforcement in Stochastic Discrimination, 8th Int. Workshop Multiple Classifier Systems, Iceland, June 2009,  Lecture notes in computer science, Springer-Verlag, LNCS 5519, 335-343.

R Duangsoithong, T. Windeatt, Relevant and Redundant Feature Analysis with Ensemble Classification, Seventh International Conference on Advances in Pattern Recognition, Kolkata, India, Feb 2009.

R Duangsoithong, T. Windeatt: Relevance and Redundancy Analysis for Ensemble Classifiers,  6th Int. Conf. Machine Learning and Data Mining in Pattern Recognition,  MLDM 2009, Leipzig, Germany, July, 2009.. Lecture Notes in Computer Science LNCS 5632 Springer, 206-220.

S. Özöğür-Akyüz, A.Ö. Argunşah, A. Akyüz, T. Windeatt, Sleep Stage Classification sing ECOC,in 4th International Symposium on Health Informatics and Bioinformatics (HIBIT), Ankara, Turkey, April 16-17, 2009.

S. Özöğür-Akyüz , T. Windeatt, On New Model Selection Methods for Error Correcting Output Codes (ECOC), in 23rd European Conference on Operational Research, in session Multi-View Learning in Machine Learning”, Bonn, Germany, July 5-8, 2009.

T. Windeatt, Weighted Decoding ECOC for facial action unit classification, Chapter in book: Studies in Computational Intelligence, Vol. 245/2009, Springer Verlag Berlin Heidelberg, 2009, 59-77. >

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