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Responsable(s) Mohamed Cheriet

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Documentation obligatoire

Les acétates du cours magistral, ainsi que d'autres matériels utiles sont disponibles sur le site : moodle.etsmtl

 

 

 


Ouvrages de références

  1. M. Cheriet, N. Kharma, C.-L. Liu et C.Y. Suen, Character Recognition Systems: A Guide for Students and Practitioners, John Wiley & Sons, 1st Edition, 2007. ISBN: 978-0-471-41570-1.
  2. R.O. Duda, P. E. Hart et D.G. Stork, "Pattern Classification", Wiley-Interscience, 2nd Edition, 2001.
  3. D.G. Stork, E.Yom-Tov, , "Computer Manual in MATLAB to accompagny Pattern Classification", Wiley-Interscience, 2nd Edition, 2004.
  4. T. Hastie, R. Tibshirani, J. Friedman, ¨The Elements of Statistical Learning: Data Mining, Inference, and Prediction¨, Springer, 2nd Edition, 2009.
  5. K.P. Murphy, Machine Learning : a Probabilistic Perspective, MIT Press, 2012.
  6. I.T. Nabney, "NETLAB : Algorithms for Pattern Recognition", Advances in Pattern Recognition, Springer, 2004.
  7. F. van der Heijden, R.P.W. Duin, D. de Ridder, D.M.J. Tax, "Classification, Paramter Estimation and State Estimation: An Engineering Approach using MATLAB", Wiley, 2004.
  8. J. Shawe-Taylor and N. Cristianni, "Kernel Methods for Pattern Analysis", Cambridge, 2004.
  9. B. Scholkopf, C.J.C. Burges, A. J. Smola, "Advances in Kernel Methods : Support Vector Learning", Wiley, 2004.
  10. K. Fukunaga, "Introduction to Statistical Pattern Recognition", Acadmic Press, second edition, 1990.
  11. J.T. Tou et R. C. Gonzalez, "Pattern Recognition Principles", Addison-Wesley, 1981.
  12. B. Dubuisson, Diagnostic et reconnaissance des formes, Hermes, 1990.
  13. L. Miclet, Méthodes structurelles pour la reconnaissance des formes, Eyrolles, 1984.
  14. H. Bunke et A. Sanfeliu, "Syntactic and Structural Pattern Recognition : Theory and Applications", World Scientific, Second edition, 1990.
  15. R. Schalkoff, "Pattern Recognition, Statistical, Structural and Neural Approaches", Wiley, 1992.
  16. A. Belaid et Y. Belaid, Reconnaissance des formes, InterÉditions, 1992.
  17. J. Shurmann, "Pattern Classification : A Unified View of Statistical and Neural Approaches", John Wiley, N. Y. 1996.
  18. P. Fabre, Exercices de reconnaissance de formes par ordinateur, Masson, 1989.
  19. R. A. Johnson et D. W. Wichern, "Applied Multivariate Statistical Analysis", Prentice Hall, 3rd édition, 1992.
  20. G. Gaillat, Méthodes statistiques de reconnaissance de formes, ENSTA, 1983.