Publications
157 results found
Bang JW, Gillies D, 2002, Estimating hidden nodes in bayesian networks, Proceedings of the international conference on machine learning and applications (ICMLA'02), Las Vegas, USA, 2002
Gomez G, Sucar LE, Gillies DF, 2002, The pq-histogram as a navigation clue, New York, 19th IEEE international conference on robotics and automation, Washington, D.C, 2002, Publisher: IEEE, Pages: 3362-3367
Lam YF, Gillies DF, Groom P, et al., 2002, Using visual reconstructions to understand the structure and function of the upper human airway, STA2002, Society for Technology in Anaesthesia annualo meeting, Santa Clara, January 2002
Thomaz CE, Gillies D, 2001, “Small Sample Size”: a methodological problem in bayes plug-in classifier for image recognition, Departmental Technical Report: 01/6, Publisher: Department of Computing, Imperial College London, 01/6
New technologies in the form of improved instrumentation have made itpossible to take detailed measurements over recognition patterns. This increase in thenumber of features or parameters for each pattern of interest not necessarily generatesbetter classification performance. In fact, in problems where the number of trainingsamples is less than the number of parameters, i.e. “small sample size” problems, notall parameters can be estimated and traditional classifiers often used to analyse lowerdimensional data deteriorate. The Bayes plug-in classifier has been successfully appliedto discriminate high dimensional data. This classifier is based on similaritymeasures that involve the inverse of the sample group covariance matrices. However,these matrices are singular in “small sample size” problems. Thus, several othermethods of covariance estimation have been proposed where the sample group covarianceestimate is replaced by covariance matrices of various forms. In this report,some of these approaches are reviewed and a new covariance estimator is proposed.The new estimator does not require an optimisation procedure, but an eigenvectoreigenvalueordering process to select information from the projected sample groupcovariance matrices whenever possible and the pooled covariance otherwise. The effectivenessof the method is shown by some experimental results.
Rodrigues MAF, Gillies DF, Charters P, 2001, A biomechanical model of the upper airways for simulating laryngoscopy, Computer Methods in Biomechanics and Biomedical Engineering, Vol: 4, Pages: 127-148, ISSN: 1025-5842
Rao A, Gillies D, 2001, Separation and attachment point feature extraction from 2D cardiac MR blood flow images, Medical image understanding and analysis 2001, Publisher: BMVA, Pages: 33-36
Thomaz CE, Gillies DF, Feitosa RQ, 2001, Small sample problem in bayes plug-in classifier for image recognition, Proceedings of image and vision computing New Zealand conference, IVCNZ'01, Dunedin, New Zealand, November 2001, Pages: 295-300
Rao AI, Gillies D, 2001, Vortex segmentation from cardiac MR 2D velocity images using region growing about vortex centres, International Workshop on Medical Imaging and Augmented Reality (MIAR 2001), Publisher: IEEE COMPUTER SOC, Pages: 222-225
Rodrigues M, Gillies D, Charters P, 2001, Realistic deformable models for simulating the tongue during laryngoscopy, Los Alamitos, Calif, International workshop on medical imaging and augmented reality, Hong Kong, China, Publisher: IEEE Computer Society, Pages: 125-130
Gillies DF, Datta V, Mackay S, et al., 2001, Motion analysis in the assessment of surgical skill, Computer Methods in Biomechanics and Biomedical Engineering, Vol: 4, Pages: 515-523, ISSN: 1025-5842
Heesch D, Hoare J, Gardoni M, et al., 2001, Content-based sketch retrieval and relevance feedback, Proceedings of SSGRR 2001
Rodrigues MAF, Gillies DF, Charters P, 2001, Creating a virtual environment for laryngoscopy training, International workshop on medical imaging and augmented reality MIAR01, Publisher: IEEE Computer Society Press, Pages: 125-130
Rao AI, Gillies D, 2001, Vortex segmentation from cardiac MR 2D velocity images using region growing about vortex centres, Los Alamitos, International workshop on medical imaging and augmented reality (MIRA 2001), Hong Kong, Peoples Republic of China, 2001, Publisher: IEEE Computer Soc, Pages: 222-225
Thomaz CE, Gillies DF, Feitosa RQ, 2001, Using mixture covariance matrices to improve face and facial expression recognitions, Berlin, 3rd International Conference on Audio- and Video- Based Biometric Person Authentication, 6 - 8 June 2001, Halmstad, SWEDEN, Publisher: Springer-Verlag, Pages: 71-77
Kim J, Gillies DF, 2000, Automated morphological classification of Neural Cells growing in culture, Proceedings of the Fifth Joint Conference on Information Sciences Atlantic City, Publisher: Association for Intelligent Machinery, Pages: 358-361
Kim J, Gillies DF, 2000, Automated morphological classification of neural cells growing in culture, 5th Joint Conference on Information Sciences (JCIS 2000), Publisher: ASSOC INTELLIGENT MACHINERY, Pages: A358-A361
Rodrigues MAF, Gillies DF, Charters P, 1999, Development of a physical model of the laryngoscopy procedure, BRITISH JOURNAL OF ANAESTHESIA, Vol: 82, Pages: 464P-464P, ISSN: 0007-0912
Kwoh CK, Khan GN, Gillies DF, 1999, Automated Endoscope Navigation and Advisory System from Medical Imaging, Proc. SPIE Int. Conf. on Physiology and Function from Multidimensional Images
Rodrigues MAF, Gillies DF, Charters P, 1999, Development of a physical Model of the Laryngoscopic Procedure, British Journal of Anaesthesia, Vol: 82, Pages: 464-464
Rodrigues MAF, Gillies DF, Charters P, 1998, Modelling and simulation of the tongue during laryngoscopy, COMPUTER NETWORKS AND ISDN SYSTEMS, Vol: 30, Pages: 2037-2045, ISSN: 0169-7552
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Chee-Keong K, Gillies DF, 1998, Probabilistic reasoning and multiple-expert methodology for correlated objective data, ARTIFICIAL INTELLIGENCE IN ENGINEERING, Vol: 12, Pages: 21-33, ISSN: 0954-1810
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- Citations: 1
Reno AL, Booth DM, Gillies DF, 1998, Deformable Models for ObjectRecognition in aerial images, Procedings of SPIE
Tahseen T, Gillies DF, 1998, A new approach to learning Bayesian Network classifiers from data: Using observed statistical frequencies, 8th International Conference on Artificial Intelligence - Methodology Systems and Applications (AIMSA 98), Publisher: SPRINGER-VERLAG BERLIN, Pages: 417-426, ISSN: 0302-9743
Rodrigues MAF, Gillies DF, Charters P, 1998, Development of a Physical Model of the Laryngoscopic Procedure, British Anaesthetics Research Society meeting, St George's Hospital
Kwoh CK, Gillies DF, 1998, Probabilistic Reasoning and Multiple-Expert Methodology for Correlated Objective Data.Artificial Intelligence, Engineering, Vol: 12, Pages: 21-33
Gillies DAG, Guo YJ, Barton SK, 1997, Synchronisation Techniques for HIPERLAN, Wireless Personal Communications, Vol: 4, Pages: 1-10, ISSN: 0929-6212
Timing recovery in the High Performance Radio Local Area Network (HIPERLAN) standard is likely to be performed with the aid of synchronisation sequences embedded in the user data, which will be detected with matched filters. A directed search using a form of genetic algorithm has been performed to obtain suitable sequences of lengths up to 80 bits, and simulations of their performance have been undertaken. Performance of the sequences has been measured under the severe channel conditions that pertain in the indoor environment.
Rodrigues MAF, Gillies DF, Charters P, 1997, Modelling and simulation of the tongue during laryngoscopy, Proceedings of the Sixth International Conference on Computational Graphics and Visualisation Techniques (COMPUGRAPHICS97), Portugal, Pages: 184-192
Sumner CJ, Gillies DF, 1997, Lateral Inhibitory Networks for Auditory Processing, The European Conference in Speech Recognition, Rhodes, EUROSPEECH 97, Pages: 2823-2826
Gillies DF, Williams CB, Saunders BP, et al., 1997, Real Time Three Dimensional Imaging of Flexible Endoscopy, Gastrointestinal Endoscopy, Vol: 7, Pages: 469-475
Kwoh CK, Gillies DF, 1997, Choice of error cost function for training unobservable nodes in Bayesian network, The first International Conference on Knowledge-Based Intelligent Electronic Systems (KES' 97), Adelaide, Australia, Pages: 565-574
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