
Here is a list of some relevant technical reports produced within the school. Some of these papers are available by ftp, by selecting the ftp option in the abstract. See Reports available from COGS for more details.
(480) Sharon Duvdevani-Bar, Shimon Edelman, A. Jonathan Howell and Hilary Buxton: A similarity-based method for the generalization of face recognition over pose and expression
(467) Stephen Eglen: Modelling the development of the retinogeniculate pathway
(459) Dave Cliff and Jason Noble: Knowledge-based vision and simple visual machines
(456) A.Jonathan Howell and Hilary Buxton: Recognising simple behaviours using time-delay RBF networks
(452) Hilary Buxton: Visual interpretation and understanding
(432) Anne Rosemary Tate: Pattern recognition analysis of in vivo magnetic resonance spectra
(424) Otavio A.S. Carpinteiro and Harry G. Barrow: A self-organizing map model for sequence classification
(418) Martin Ebdon: Towards a general theory of cerebral neocortex
(416) A.Jonathan Howell and Hilary Buxton: Improving generalisation in radial basis function networks for face recognition
(404) Stephen Eglen, Jim Stone and Harry Barrow: Learning perceptual invariances: a spatial model
(398) James V. Stone: A canonical microfunction for learning perceptual invariances
(391) A.Jonathan Howell and Hilary Buxton: Receptive field functions for face recognition
(386) David Young, Hilary Tunley and Richard Samuels: Specialised Hough transform and active contour methods for real-time eye tracking
(383) Stephen Eglen: Modelling the development of cat lateral geniculate nucleus with Hebbian learning
(376) A. Jonathan Howell and Hilary Buxton: A scaleable approach to face identification
(365) A. Jonathan Howell and Hilary Buxton: Invariance in radial basis function neural networks in human face classification
(351) James V Stone: Computer Vision: What is the object?
(332) Harry G. Barrow and Alistair J. Bray: Models of synaptic development in early visual cortex
(331) Alistair J. Bray and Harry G. Barrow: Simple cell adaptation in visual cortex: a computational model of processing in the early visual pathway
(330) James V. Stone: Learning spatio-temporal invariances
(313) David Young: First-order optic flow
(293) Hilary Buxton and Shaogang Gong: Advanced visual surveillance
(277) Peter G.R. de Bourcier: Animat navigation using visual landmarks
(263) D.T. Cliff and S.G. Bullock: Adding 'Foveal Vision' to Wilson's Animat
(226) Geoffrey Goodhill: Correlations, Competition and Optimality: modelling the development of topography and ocular dominance
(220) D. Cliff, P. Husbands and I. Harvey: Evolving visually guided robots
(212) Xu Li-Qun, David Young and David Hogg: Building a model of a road junction using moving vehicle information
(211) H. Tunley: Second-order visual motion processing: a distributed approach
(209) J.V. Stone: Shape from Texture: a computational analysis
(206) D.T. Cliff: Neural networks for visual tracking in an artificial fly
(203) Shiu Yin Kelvin Yuen: Shape from contour and segementation using symmetries
(201) Shiu Yin K. Yuen: Connective Hough Transform
(178) Alistair J. Bray: Recognising and tracking polyhedral objects
(168) David Young: Quantitative ecological optics
(167) J.V. Stone: Shape from texture: textural invariance and the problem of scale in perspective images of textured surfaces
(166) Hilary Tunley: A neural network model for dynamic image processing
(163) D.T. Cliff: Network control for animate vision with nonuniform sampling
(146) Aaron Sloman: On designing a visual system
(145) David Hogg: Interpreting images of a known moving object
(114) Alistair J. Bray: Tracking models using convergence techniques
(096) David Young: Representing images for computer vision
(083) Guy L. Scott: Local and global interpretation of moving images
(080) David Young: Describing the information for action
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Copyright, © University of Sussex School of Cognitive and Computing Sciences, 1996,1997,1998
2 March 1998 - Jonathan Howell, jonh@sussex.ac.uk