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UCL
Gatsby Computational Neuroscience Unit
Alexandra House . 17 Queen Square . LONDON . WC1N 3AR . U.K.
Tel +44 (0) 20 7679 1176 . Fax +44 (0) 20 7679 1173 . admin@gatsby.ucl.ac.uk
Geoffrey E. Hinton's Publications
Shape Recognition using Deformable Models
Online versions [if available] can be found in my chronological publications
- Hinton, G. E., Williams, C. K. I., and Revow, M. (1992)
Combining Two Methods of Recognizing Hand-Printed Digits. Artificial Neural Networks II: Proceedings of ICANN-92. I. Aleksander and J. Taylor (Eds.), Elsevier North-Holland.
- Hinton, G. E., Williams, C. K. I., and Revow, M. (1992)
Adaptive Elastic Models for Character Recognition. Advances in Neural Information Processing Systems 4. J. E. Moody, S. J. Hanson and R. P. Lippmann (Eds.), Morgan Kaufmann: San Mateo, CA.
- Williams, C. K. I., Revow, M. and Hinton, G. E. (1993)
Hand-printed digit recognition using deformable models. In L. Harris and M. Jenkin (Eds) Spatial Vision in Humans and Robots, Cambridge University press, New York.
- Revow, M., Williams, C. K. I., and Hinton, G. E. (1993)
Using mixtures of deformable models to capture variations in the shapes of hand-printed digits. Third International Workshop on Frontiers of Handwriting Recognition.
[abstract] [ps] [pdf]
- Hinton, G. E., Revow, M. and Dayan P. (1995)
Recognizing handwritten digits using mixtures of linear models. Advances in Neural Information Processing Systems 7. G. Tesauro, D. S. Touretzky and T. K. Leen (Eds), pp 1015-1022 MIT Press, Cambridge MA.
[abstract] [ps] [ps.gz] [pdf]
- Williams, C. K. I., Hinton, G. E. and Revow, M. (1995)
Using a neural net to instantiate a deformable model. Advances in Neural Information Processing Systems 7. G. Tesauro, D. S. Touretzky and T. K. Leen (Eds), pp 965-972 MIT Press, Cambridge MA.
- Revow, M., Williams, C. K. I. and Hinton, G. E. (1996)
Using Generative Models for Handwritten Digit Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 592-606.
[abstract] [ps]Shape Recognition Using Neural Networks
- Hinton, G. E. (1981)
A parallel computation that assigns canonical object-based frames of reference. Proceedings of the Seventh International Joint Conference on Artificial Intelligence Vol 2, Vancouver BC, Canada.
- Hinton, G. E. (1981)
Shape representation in parallel systems. Proceedings of the Seventh International Joint Conference on Artificial Intelligence Vol 2, Vancouver BC, Canada.
- Hinton, G. E. and Lang, K. J. (1985)
Shape recognition and illusory conjunctions. Proceedings of the Ninth International Joint Conference on Artificial Intelligence, Los Angleles, pp 252-259.
- Zemel, R., Mozer, M. and Hinton, G. E. (1990)
TRAFFIC: Recognizing objects using local reference frame transformations. In Touretzky, D. S., (Ed.) Advances in Neural Information Processing Systems 2, Morgan Kaufmann: San Mateo, CA.
- Zemel, R. and Hinton, G. E. (1991)
Discovering and using the viewpoint consistency constraint. Advances in Neural Information Processing Systems 3. R. P. Lippmann, J. E. Moody, and D. S. Touretzky (Eds.), Morgan Kaufmann: San Mateo, CA.