Abstract
Figure 1 shows some handwritten digits taken from US envelopes. Each image consists of 16 × 16 pixels of greyscale values ranging from 0 – 255. These 256 pixel values are regarded as a feature vector to be used as input to a classifier, which will automatically assign a digit class based on the pixel values.
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References
Boser, B., Guyon, I., & Vapnik, I. (1992). A training algorithm for optimal margin classifiers. In Proceedings of COLT II Philadelphia, Pa.
Gold, S., Mjolsness, E., & Rangarajan, A. (1994). Clustering with a Domain Specific Distance Measure. In Advances in Neural Information Processing Systems San Mateo, CA. Morgan Kaufman.
Hastie, T., Buja, A., & Tibshirani, R. (1995). Penalized Discriminant Analysis. Annals of Statistics, 23(1), 73–102.
Hastie, T., & Tibshirani, R. (1993). Handwritten Digit Recognition via Deformable Prototypes. unpublished manuscript.
Hastie, T., Tibshirani, R., & Buja, A. (1994). Flexible Discriminant Analysis by Optimal Scoring. Journal of the American Statistical Association, 89, 1255–1270.
Kohonen, T. (1989). Self-Organization and Associative Memory (3rd edition). Springer-Verlag, Berlin.
Le Cun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R., Hubbard, W., & Jackel, L. (1990). Handwritten Digit Recognition with a Back-Propagation Network. In Touretzky, D. (Ed.), Advances in Neural Information Processing Systems, Vol. 2 Denver, CO. Morgan Kaufman.
Oja, E. (1989). Neural Networks, Principal Components, and Subspaces. International Journal Of Neural Systems, 1(1), 61–68.
Säckinger, E. (1992). Recurrent Networks for Elastic Matching in Pattern Recognition. Tech. rep., AT&T Bell Laboratories.
Simard, P. Y., LeCun, Y., & Denker, J. (1993). Efficient Pattern Recognition Using a New Transformation Distance. In Advances in Neural Information Processing Systems, pp. 50–58 San Mateo, CA. Morgan Kaufman.
Vapnik, V. (1996). The Nature of Statistical Learning. Springer-Verlag.
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Hastie, T., Simard, P. (1997). Metrics and Models for Handwritten Character Recognition. In: Malaguerra, C., Morgenthaler, S., Ronchetti, E. (eds) Conference on Statistical Science Honouring the Bicentennial of Stefano Franscini’s Birth. Monte Verità. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8930-8_16
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DOI: https://doi.org/10.1007/978-3-0348-8930-8_16
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