Discriminant pattern recognition using transformation-invariant neurons

Neural Computation

Volumn 12, Issue 6, 2000, Pages 1355-1370

  Sona, Diego ^a   Sperduti, Alessandro ^a   Starita, Antonina ^a  

^a UNIVERSITY OF PISA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; DISCRIMINATION LEARNING; NERVE CELL; PATTERN RECOGNITION; PHYSIOLOGY;

ALGORITHMS; DISCRIMINATION LEARNING; NEURAL NETWORKS (COMPUTER); NEURONS; PATTERN RECOGNITION, VISUAL;

EID: 0034202523     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976600300015402     Document Type: Article

References (9)

1. Hastie, T., Simard, P. Y., & Säckinger, E. (1995). Learning prototype models for tangent distance. In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Advances in neural information processing systems, 7 (pp. 999-1006). Cambridge, MA: MIT Press.
2. Hinton, G. E., Dayan, P., & Revow, M. (1997). Modeling the manifold of images of handwritten digits. IEEE Transactions on Neural Networks, 8, 65-74.
3. Kohonen, T., Hynninen, J., Kangas, J., Laaksonen, J., & Torkkola, K. (1996). LVQ_PAK: The learning vector quantization program package (Tech. Rep. No. A30). Espoo, Finland: Helsinki University of Technology, Laboratory of Computer and Information Science. Available online at: http://www.cis.hut.fi/ nnrc /nnrcc-programs.html.
4. Schwenk, H., & Milgram, M. (1995a). Learning discriminant tangent models for handwritten character recognition. In International Conference on Artificial Neural Networks (pp. 985-988). Berlin: Springer-Verlag.
5. Schwenk, H., & Milgram, M. (1995b). Transformation invariant autoassociation with application to handwritten character recognition. In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Advances in neural information processing systems, 7 (pp. 991-998). Cambridge, MA: MIT Press.
6. Simard, P. Y. (1994). Efficient computation of complex distance metrics using hierarchical filtering. In J. D. Cowan, G. Tesauro, and J. Alspector (Eds.), Advances in neural information processing systems, 6 (pp. 168-175). San Mateo, CA: Morgan Kaufmann.
7. Simard, P. Y., LeCun, Y., & Denker, J. (1993). 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, 5 (pp. 50-58). San Mateo, CA: Morgan Kaufmann.
8. Sona, D., Sperduti, A., & Starita, A. (1997). A constructive learning algorithm for discriminant tangent models. In M. C. Mozer, M. I. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems, 9 (pp. 786-792). Cambridge, MA: MIT Press.
9. Sperduti, A., & Stork, D. G. (1995). A rapid graph-based method for arbitrary transformation-invariant pattern classification. In G. Tesauro, D. S. Touretzky, and T. K. Leen (Eds.), Advances in neural information processing systems, 7 (pp. 665-672). Cambridge, MA: MIT Press.