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Jim Austin
Jim Austin
Professor of neural computation, University of york
Bestätigte E-Mail-Adresse bei york.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A survey of outlier detection methodologies
V Hodge, J Austin
Artificial intelligence review 22, 85-126, 2004
47182004
Towards novel neuroscience-inspired computing
S Wermter, M Elshaw, J Austin, D Willshaw
Emergent Neural Computational Architectures Based on Neuroscience: Towards …, 2001
2472001
A machine-learning approach to keypoint detection and landmarking on 3D meshes
C Creusot, N Pears, J Austin
International journal of computer vision 102 (1), 146-179, 2013
1562013
Distributed associative memory for use in scene analysis
J Austin, TJ Stonham
Image and Vision Computing 5 (4), 251-260, 1987
1281987
Three-dimensional face recognition: An eigensurface approach
T Heseltine, N Pears, J Austin
2004 International Conference on Image Processing, 2004. ICIP'04. 2, 1421-1424, 2004
1092004
Road vehicle classification using support vector machines
Z Chen, N Pears, M Freeman, J Austin
2009 IEEE International Conference on Intelligent Computing and Intelligent …, 2009
1012009
Distributed associative memories for high-speed symbolic reasoning
J Austin
Fuzzy Sets and Systems 82 (2), 223-233, 1996
991996
Face recognition: A comparison of appearance-based approaches
T Heseltine, N Pears, J Austin, Z Chen
Proc. VIIth Digital image computing: Techniques and applications 1, 2003
982003
Evaluation of image preprocessing techniques for eigenface-based face recognition
T Heseltine, N Pears, J Austin
Second International Conference on Image and Graphics 4875, 677-685, 2002
892002
Hierarchical growing cell structures: TreeGCS
VJ Hodge, J Austin
IEEE Transactions on knowledge and data engineering 13 (2), 207-218, 2001
862001
Three-dimensional face recognition using combinations of surface feature map subspace components
T Heseltine, N Pears, J Austin
Image and Vision Computing 26 (3), 382-396, 2008
852008
A comparison of standard spell checking algorithms and a novel binary neural approach
VJ Hodge, J Austin
IEEE transactions on knowledge and data engineering 15 (5), 1073-1081, 2003
852003
An associative memory for use in image recognition and occlusion analysis
J Austin, TJ Stonham
Image and vision computing 5 (4), 251-261, 1987
821987
Short-term prediction of traffic flow using a binary neural network
VJ Hodge, R Krishnan, J Austin, J Polak, T Jackson
Neural Computing and Applications 25, 1639-1655, 2014
782014
Developing artificial neural networks for safety critical systems
Z Kurd, T Kelly, J Austin
Neural Computing and Applications 16, 11-19, 2007
762007
Three-dimensional face recognition: A fishersurface approach
T Heseltine, N Pears, J Austin
International Conference Image Analysis and Recognition, 684-691, 2004
722004
Hadoop neural network for parallel and distributed feature selection
VJ Hodge, S O’Keefe, J Austin
Neural Networks 78, 24-35, 2016
652016
Matching performance of binary correlation matrix memories
M Turner, J Austin
Neural Networks 10 (9), 1637-1648, 1997
651997
Image recognition
J Austin, N Pears, T Heseltine
US Patent 7,689,043, 2010
612010
Pattern matching and associative artificial neural networks for water distribution system time series data analysis
SR Mounce, RB Mounce, T Jackson, J Austin, JB Boxall
Journal of Hydroinformatics 16 (3), 617-632, 2014
582014
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