C. G. , G. S. Markuzon-n, and R. J. Rosen-d, Fuzzy ARTMAP : A neural network architecture for incremental supervised learning of analog multidimensional maps, IEEE Transactions on Neural Networks, vol.3, 1992.

. R. Krishnapuram and . Keller-j, A possibilistic approach to clustering, IEEE Transactions on Fuzzy Systems, vol.1, issue.2, pp.98-110, 1993.
DOI : 10.1109/91.227387

A. H. Mou-06a-]-mouchere, A Unified Strategy to Deal with Different Natures of Reject, p.18, 2006.

A. H. Mou-06b-]-mouchere, Synthèse de caractères manuscrits en-ligne pour la reconnaissance de l'écriture, Actes du Colloque International Francophone sur l'Ecrit et le Document, pp.187-192, 2006.

H. Mouchere, A. E. , and R. N. , WRITER STYLE ADAPTATION IN ONLINE HANDWRITING RECOGNIZERS BY A FUZZY MECHANISM APPROACH: THE ADAPT METHOD, International Journal of Pattern Recognition and Artificial Intelligence, vol.21, issue.01, pp.99-116, 2007.
DOI : 10.1142/S0218001407005326
URL : https://hal.archives-ouvertes.fr/hal-00463225

L. Oudot, M. A. Prevost-l, and . M. Mil-gram, Self-Supervised Writer Adaptation using Perceptive Concepts : Application to On-Line Text Recognition, 17th ICPR, pp.598-601, 2004.

. Plamondon-r and . Djioua-m, A multi-level representation paradigm for handwriting stroke generation, Human Movement Science, vol.25, issue.4-5, pp.586-607, 2006.
DOI : 10.1016/j.humov.2006.07.004

P. R. Udpa-l and U. S. Honavar-v, Learn++ : An Incremental Learning Algorithm for Supervised Neural Networks, IEEE Transactions on Systems, Man, and Cybernetics, vol.31, pp.497-508, 2001.