Bernard F. Buxton

Luís A. Lima Silva, John A. Campbell, Nicholas Eastaugh, Bernard F. Buxton: A Case for Folk Arguments in Case-Based Reasoning. ICCBR 2010: 317-331

Vasileios Zografos, Bernard F. Buxton: Affine Invariant, Model-Based Object Recognition Using Robust Metrics and Bayesian Statistics. CoRR abs/1012.2491 (2010)

Luís A. Lima Silva, John A. Campbell, Bernard F. Buxton: Folk Arguments, Numerical Taxonomy and Case-Based Reasoning. ECCBR 2008: 518-532

Luís A. Lima Silva, John A. Campbell, Nicholas Eastaugh, Bernard F. Buxton: A Case for Numerical Taxonomy in Case-Based Reasoning. SBIA 2008: 177-186

Vasileios Zografos, Bernard F. Buxton: A Bayesian Approach to 3D Object Recognition Using Linear Combination of 2D Views. VISAPP (2) 2008: 295-298

Luís A. Lima Silva, Bernard F. Buxton, John A. Campbell: Enhanced Case-Based Reasoning trough Use of Argumentation and Numerical Taxonomy. FLAIRS Conference 2007: 423-428

Daniel J. Hulme, Robin Hirsch, Bernard F. Buxton, R. Beau Lotto: A New Reduction from 3SAT to n-Partite Graphs. FOCI 2007: 235-238

Matthew W. B. Trotter, Bernard F. Buxton: Unsupervised Thresholding of Affymetrix Microarray Data. ICCTA 2007: 342-347

Bernard F. Buxton, Houari Abdallahi, Delmiro Fernandez-Reyes, William Jarra: Development of an Extension of the Otsu Algorithm for Multidimensional Image Segmentation of Thin-Film Blood Slides. ICCTA 2007: 552-562

Vasileios Zografos, Bernard F. Buxton: Pose-Invariant 3D Object Recognition Using Linear Combination of 2D Views and Evolutionary Optimisation. ICCTA 2007: 645-649

Timothy M. D. Ebbels, Bernard F. Buxton, David T. Jones: springScape: visualisation of microarray and contextual bioinformatic data using spring embedding and an "information landscape". ISMB (Supplement of Bioinformatics) 2006: 99-107

João Fradinho Oliveira, Bernard F. Buxton: PNORMS: platonic derived normals for error bound compression. VRST 2006: 324-333

Bernard F. Buxton, M. Benjamin Dias: Implicit, view invariant, linear flexible shape modelling. Pattern Recognition Letters 26(4): 433-447 (2005)

Song Hu, Bernard F. Buxton: Using an Avatar to Develop a System for the Predication of Human Body Pose from Moments. ACII 2005: 202-209

Song Hu, Bernard F. Buxton: Using Temporal Coherence for Gait Pose Estimation From a Monocular Camera View. BMVC 2005

Anthony Ruto, Bernard F. Buxton: Application of a Robust and Efficient ICP Algorithm for Fitting a Deformable 3D Human Torso Model to Noisy Data. DICTA 2005: 62

Bernard F. Buxton, Vasileios Zografos: Flexible Template and Model Matching Using Intensity. DICTA 2005: 64

Vasileios Zografos, Bernard F. Buxton: Affine Invariant, Model-Based Object Recognition Using Robust Metrics and Bayesian Statistics. ICIAR 2005: 407-414

Song Hu, J. Mortensen, Bernard F. Buxton: A Real-Time Tracking System Developed for an Interactive Stage Performance. WEC (5) 2005: 102-105

Jonathan J. Ward, Liam J. McGuffin, Kevin Bryson, Bernard F. Buxton, David T. Jones: The DISOPRED server for the prediction of protein disorder. Bioinformatics 20(13): 2138-2139 (2004)

David P. A. Corney, Bernard F. Buxton, William B. Langdon, David T. Jones: BioRAT: extracting biological information from full-length papers. Bioinformatics 20(17): 3206-3213 (2004)

William B. Langdon, Bernard F. Buxton: Genetic Programming for Mining DNA Chip Data from Cancer Patients. Genetic Programming and Evolvable Machines 5(3): 251-257 (2004)

M. Benjamin Dias, Bernard F. Buxton: Separating shape and pose variations. Image Vision Comput. 22(10): 851-861 (2004)

Jonathan J. Ward, Jaspreet Singh Sodhi, Bernard F. Buxton, David T. Jones: Predicting Gene Ontology Annotations from Sequence Data Using Kernel-Based Machine Learning Algorithms. CSB 2004: 529-530

Jonathan J. Ward, Liam J. McGuffin, Bernard F. Buxton, David T. Jones: Secondary structure prediction with support vector machines. Bioinformatics 19(13): 1650-1655 (2003)

Tim J. Hutton, Bernard F. Buxton, Peter Hammond, Henry W. W. Potts: Estimating Average Growth Trajectories in Shape-Space using Kernel Smoothing. IEEE Trans. Med. Imaging 22(6): 747-753 (2003)

Tim J. Hutton, Bernard F. Buxton, Peter Hammond: Automated Registration of 3D Faces using Dense Surface Models. BMVC 2003: 1-10

M. Benjamin Dias, Bernard F. Buxton: Enforcing a Shape Correspondence between Two Views of a 3D Non-rigid Object. CIARP 2003: 163-170

William B. Langdon, S. J. Barrett, Bernard F. Buxton: Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery. EvoWorkshops 2003: 87-98

João Fradinho Oliveira, Dongliang Zhang, Bernhard Spanlang, Bernard F. Buxton: Animating Scanned Human Models. WSCG 2003

Robert Burbidge, Matthew W. B. Trotter, Bernard F. Buxton, Sean B. Holden: Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis. Computers & Chemistry 26(1): 5-14 (2002)

Ben Southall, Tony Hague, John A. Marchant, Bernard F. Buxton: An Autonomous Crop Treatment Robot. I. J. Robotic Res. 21(1): 61-74 (2002)

M. Benjamin Dias, Bernard F. Buxton: Integrated Shape and Pose Modelling. BMVC 2002: 1-10

William B. Langdon, S. J. Barrett, Bernard F. Buxton: Combining Decision Trees and Neural Networks for Drug Discovery. EuroGP 2002: 60-70

Daniel C. Alexander, Bernard F. Buxton: Statistical Modeling of Colour Data. International Journal of Computer Vision 44(2): 87-109 (2001)

William B. Langdon, Bernard F. Buxton: Evolving Receiver Operating Characteristics for Data Fusion. EuroGP 2001: 87-96

Robert Burbidge, Matthew W. B. Trotter, Bernard F. Buxton, Sean B. Holden: STAR - Sparsity through Automated Rejection. IWANN (1) 2001: 653-660

Jeevani Wickramaratna, Sean B. Holden, Bernard F. Buxton: Performance Degradation in Boosting. Multiple Classifier Systems 2001: 11-21

William B. Langdon, Bernard F. Buxton: Genetic Programming for Improved Receiver Operating Characteristics. Multiple Classifier Systems 2001: 68-77

Miles E. Hansard, Bernard F. Buxton: Parametric View-Synthesis. ECCV (1) 2000: 191-202

Ben Southall, Bernard F. Buxton, John A. Marchant, Tony Hague: On the Performance Characterisation of Image Segmenation Algorithms: A Case Study. ECCV (2) 2000: 351-365

Miles E. Hansard, Bernard F. Buxton: Image-Based Rendering via the Standard Graphics Pipeline. IEEE International Conference on Multimedia and Expo (III) 2000: 1437-1440

I. Koufakis, Bernard F. Buxton: Very low bit rate face video compression using linear combination of 2D face views and principal components analysis. Image Vision Comput. 17(14): 1031-1051 (1999)

Ioannis Douros, Laura Dekker, Bernard F. Buxton: Reconstruction of the Surface of the Human Body from 3D Scanner Data Using 13-splines. Three-Dimensional Image Capture and Applications 1999: 234-245

Laura Dekker, Ioannis Douros, Bernard F. Buxton, Philip C. Treleaven: Building Symbolic Information for 3D Human Body Modeling from Range Data. 3DIM 1999: 388-389

Ben Southall, Tony Hague, John A. Marchant, Bernard F. Buxton: Vision-Aided Outdoor Navigation of an Autonomous Horticultural Vehicle. ICVS 1999: 37-50

Ben Southall, Bernard F. Buxton, John A. Marchant: Controllability and Observability: Tools for Kalman Filter Design. BMVC 1998: 1-10

Ben Southall, John A. Marchant, Tony Hague, Bernard F. Buxton: Model Based Tracking for Navigation and Segmentation. ECCV (1) 1998: 797-811

Daniel C. Alexander, Bernard F. Buxton: Implementational Improvements for Active Region Models. BMVC 1997

Daniel C. Alexander, Bernard F. Buxton: Modelling of single mode distributions of colour data using directional statistics. CVPR 1997: 319-324

Daniel C. Alexander, Bernard F. Buxton: An evaluation of physically based statistical colour models for image region characterisation. ICIP (3) 1996: 1023-1026

Bernard F. Buxton, Roberto Cipolla (Eds.): Computer Vision - ECCV'96, 4th European Conference on Computer Vision, Cambridge, UK, April 15-18, 1996, Proceedings, Volume I. Lecture Notes in Computer Science 1064, Springer 1996, isbn 3-540-61122-3

Bernard F. Buxton, Roberto Cipolla (Eds.): Computer Vision - ECCV'96, 4th European Conference on Computer Vision, Cambridge, UK, April 15-18, 1996, Proceedings, Volume II. Lecture Notes in Computer Science 1065, Springer 1996, isbn 3-540-61123-1

David W. Murray, Bernard F. Buxton: Experiments in the machine interpretation of visual motion. MIT Press 1990, pp. 1-236

David W. Murray, David A. Castelow, Bernard F. Buxton: From image sequences to recognized moving polyhedral objects. International Journal of Computer Vision 3(3): 181-208 (1989)

David W. Murray, David A. Castelow, Bernard F. Buxton: From an image sequence to a recognized polyhedral object. Image Vision Comput. 6(2): 107-120 (1988)

David A. Castelow, David W. Murray, Guy L. Scott, Bernard F. Buxton: Matching Canny edgels to compute the principal components of optic flow. Image Vision Comput. 6(2): 129-136 (1988)

A. Kashko, Hilary Buxton, Bernard F. Buxton, David A. Castelow: Parallel matching and reconstruction algorithms in computer vision. Parallel Computing 8(1-3): 3-17 (1988)

David W. Murray, Bernard F. Buxton: Scene Segmentation from Visual Motion Using Global Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 9(2): 220-228 (1987)

David A. Castelow, David W. Murray, Guy L. Scott, Bernard F. Buxton: Matching Canny Edgels to Compute the Principal Components of Optic Flow. Alvey Vision Conference 1987: 1-8

David W. Murray, David A. Castelow, Bernard F. Buxton: From an Image Sequence to a Recognized Polyhedral Object. Alvey Vision Conference 1987: 1-10

J. S. Wiejak, Hilary Buxton, Bernard F. Buxton: Convolution with separable masks for early image processing. Computer Vision, Graphics, and Image Processing 32(3): 279-290 (1985)

Bernard F. Buxton, David W. Murray: Optic flow segmentation as an ill-posed and maximum likelihood problem. Image Vision Comput. 3(4): 163-169 (1985)

Bernard F. Buxton, Hilary Buxton: Computation of optic flow from the motion of edge features in image sequences. Image Vision Comput. 2(2): 59-75 (1984)

Bernard F. Buxton, Hilary Buxton, David W. Murray, N. S. Williams: 3D Solutions to the Aperture Problem. ECAI 1984: 105-114