P. Y. Simard, Y. LeCun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems, volume 5, pages 50--58, San Mateo CA, 1993. Morgan Kaufmann. Home/Search Document Not in Database Summary Related Articles Check |
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....digits. Due to the importance of invariance with respect to some basic transformation groups such as translation, rotation, scaling, some efforts have been made toward designing a recognizer which is tolerant to 1045 9227 99 10.00 1999 IEEE some small transformations. For example, Simard et al. [20] have established a computationally expensive nearest neighbor method that allows for typical digit transformation. The elastic deformable matching [21] also attempts to capture all the variations with a single model, but using a very complex matching scheme. As ASSOM has an important feature that ....
P. Simard, Y. L. Cun, and J. Denker, "Efficient pattern recognition using a new transformation distance," in Advances in Neural Inform. Processing Syst. 5, J. D. Cowan, S. J. Hanson, and C. L. Giles, Eds. San Mateo, CA: Morgan Kaufmann, 1993, pp. 50--58.
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....(LVQ) algorithm emerges naturally from our framework. 1 Introduction Though fifty years have passed since the introduction of One Nearest Neighbour (1 NN) 1] it is still a popular algorithm. 1 NN is a simple and intuitive algorithm but at the same time achieves state of the art results [2]. However in large, high dimensional data set it often become infeasible. One approach to face this computational problem is to approximate the nearest neighbour [3] using various techniques. Alternative approach is to choose a small data set (aka prototypes) which represents the original training ....
....prototype. Another extension to use a different distance measure instead of the l 2 norm. This may result in more complicated formula of the derivative of the loss function, but may improve the results significantly in some cases. One specific interesting distance measure is the Tangent Distance [2]. We also presented a generalization guarantee for prototype based classifier that is based on the margin training error. The bound is dimension free and thus a kernel version of the algorithm may yield a good performance. This modification is straightforward, as the algorithm can be expressed as ....
P. Y. Simard, Y. A. Le Cun, and J. Denker. Efficient pattern recognition using a new transformation distance. In Advances in Neural Information Processing Systems, volume 5, pages 50--58. 1993.
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P. Y. Simard, Y. LeCun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S.J. Hanson, J.D. Cowan, and C.L. Giles, editors, Advances in Neural Information Processing Systems, volume 5, pages 50--58, San Mateo CA, 1993. Morgan Kaufmann.
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P. Y. Simard, Y. LeCun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, Advances in Neural Information Processing Systems, volume 5, pages 50--58. Morgan Kaufmann, 1993.
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P. Simard, Y. Le Cun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S. Hanson, J. Cowan, and C. Giles, editors, Advances in Neural Information Processing Systems 5, pages 50--68. Morgan Kaufmann, 1993.
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P.Y. Simard, Y. LeCun, J. Denker, Efficient pattern recognition using a new transformation distance, in: S.J. Hanson, J.D. Cowan, C.L. Giles (Eds.), Advances in Neural Information Processing Systems, Vol. 5, Morgan Kaufmann, San Mateo, CA, 1993, pp. 50--58.
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P. Y. Simard, Y. LeCun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, Advances in Neural Information Processing Systems, volume 5, pages 50--58. Morgan Kaufmann, 1993.
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P. Simard, Y. Le Cun, and J. Denker, "Efficient Pattern Recognition Using a New Transformation Distance," Advances in Neural Information Processing Systems, S. Hanson, J. Cowan, and C. Giles, eds., vol. 5, pp. 50-58, 1993.
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P. Y. Simard, Y. A. LeCun, and J. S. Denker. Efficient pattern recognition using a new transformation distance. In Advances in Neural Information Processing Systems, 5, pages 50--58. Morgan Kaufmann, San Mateo, CA, 1993.
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P. Simard, Y. Cun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S. Hanson et. al., editor, Advances in Neural Information Processing Systems 5, pages 50--58. Morgan Kaufmann, San Mateo CA, 1993.
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P. Simard, Y. Le Cun, and J. Denker, "Efficient pattern recognition using a new transformation distance," Advances in Neural Information Processing Systems, 5:50--58, 1993.
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P. Y. Simard, Y. A. Le Cun, and J. Denker. Efficient pattern recognition using a new transformation distance. In Advances in Neural Information Processing Systems, volume 5, pages 50--58. 1993.
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P. Simard, Y. Le Cun, and J. Denker, "Efficient pattern recognition using a new transformation distance.", in Advances in Neural Information Processing Systems 5, J. D. Cowan S. J. Hanson and C. L. Giles, Eds., pp. 50--58. Morgan Kaufmann, 1993.
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P. Simard, Y. Le Cun, and J. Denker, "Efficient pattern recognition using a new transformation distance," in Neural Information Processing Systems, S. J. Hanson, J. D. Cowan, and C. L. Giles, Eds. San Francisco, CA: Morgan Kaufmann, 1993, vol. 5, pp. 50--58.
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Simard P, Le Cun Y, Denker J: Efficient pattern recognition using a new transformation distance, in: Hanson S, Cowan J, Giles C (eds): Advances in Neural Information Processing Systems 5, Morgan Kaufmann, San Mateo, CA, 1993; 50--58.
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P. Simard, Y. Le Cun, and J. Denker. Efficient pattern recognition using a new transformation distance. In Advances in Neural Information Processing Systems, volume 5, pp. 50-- 58, San Mateo, CA, USA, 1993.
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P. Simard, Y. Le Cun, and J. Denker. Efficient pattern recognition using a new transformation distance. In S. J. Hanson, J. D. Cowan, and C. L. Giles, editors, Advances in Neural Information Processing Systems 5. Proceedings of the 1992.
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Simard, P, Le Cun, Y & and Denker, J (1993). Efficient pattern recognition using a new transformation distance. In SJ Hanson, JD Cowan & CL Giles, editors, Advances in Neural Information Processing Systems 5, 50-58. San Mateo, CA: Morgan Kaufmann.
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