Registro:

Referencias:

• Wunsch, P., Laine, A., Wavelet descriptors for multiresolution recognition of handprinted characters (1995) Pattern Recognition, 28 (8), pp. 1237-1249
• Le Cun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D., Backpropagation applied to handwritten zip code recognition (1989) Neural Computation, 1, pp. 541-551
• Krzyzak, A., Dai, W., Suen, C.Y., Unconstrained handwritten character classification using modified backpropagation model (1990) Proceedings of 1st. International Workshop on Frontiers in Handwritten Recognition, pp. 155-166. , Montreal, Canada
• Chen, G.Y., Bui, T.D., Krzyzak, A., Contour-based handwritten numeral recognition using multi-wavelets and neural networks (2003) Pattern Recognition, 36 (7), pp. 1597-1604
• Romero, D., Seijas, L., Ruedin, A., Directional continuous wavelet transform applied to handwritten numerals recognition using neural networks (2007) JCST, 7 (1), pp. 66-71
• Liu, Z.-B., The training strategy for creating decision tree (2003) Proceedings of the Second International Conference on Machine Learning and Cybernetics, , Xi'an
• Cho, S.-B., Ensemble of structure-adaptive self-organizing maps for high performance classification (2000) Information Sciences, 123, pp. 103-114
• Su, M.-C., Lai, E., Tew, C.-Y., A SOM-based fuzzy system and its application in handwritten digits recognition (2000) Proceedings International Symposium on Multimedia Software Engineering, pp. 253-258. , Taipei, Taiwan
• Pratt, W., (1978) Digital Image Processing, , New York, Wiley
• Gorgevik, D., Cakmakov, D., An efficient three-stage classifier for handwritten digit recognition (2004) Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), 4, pp. 507-510
• Lee, S., Multilayer cluster neural network for totally unconstrained handwritten numeral recognition (1995) Neural Networks, 8 (5), pp. 783-792
• Kohonen, T., Self-organized formation of topologi-cally correct feature maps (1982) Biological Cybernetics, 43, pp. 59-69
• Hertz, J., Krogh, A., Palmer, R., (1990) Introduction to the Theory of Neural Computation, , Santa Fe Institute Editorial Board
• Haykin, S., (1999) Neural Networks a Comprehensive Foundation, , Prentice Hall
• Seijas, L.M., Segura, E.C., A hybrid neural network model for pattern recognition: Solving ambiguities and explaining answers (2005) Proceedings ASIS 2005-34 JAIIO, , Rosario, Argentina
• Seijas, L.M., Segura, E.C., Un clasificador neuronal que explica sus respuestas: aplicación al re-conocimiento de dígitos manuscritos (2003) Proceedings IX Congreso Argentino de Ciencias de la Computación (CACIC 2003), , La Plata, Argentina
• Liu, C., Nakashima, K., Sako, H., Fujisawa, H., Handwritten digit recognition using state-of-the-art techniques (2002) Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, pp. 320-325. , Niagara-on-the lake, Canada. August 6-8
• Dong, J.X., Krzyzak, A., Suen, C.Y., Fast SVM training algorithm with decomposition on very large datasets (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence, 27 (4), pp. 603-618. , April
• Dong, J.X., Krzyzak, A., Suen, C.Y., Local learning framework for handwritten character recognition (2002) Engineering Applications of Artificial Intelligence, 15 (2), pp. 151-159. , April
• Cho, S.B., Kim, J.H., Combining multiple neural network by fuzzy integral for robust classification (1995) IEEE Trans. Systems, Man and Cybernetics, 25 (2), pp. 380-384A4 - Universitat Bielefeld; SFB 673

Citas:

---------- APA ----------

---------- CHICAGO ----------

---------- MLA ----------

---------- VANCOUVER ----------