S. Barrat and S. Tabbone, A Bayesian network for combining descriptors: application to symbol recognition, International Journal on Document Analysis and Recognition (IJDAR), vol.28, issue.12, pp.65-75, 2010.
DOI : 10.1007/s10032-009-0103-y

URL : https://hal.archives-ouvertes.fr/inria-00437492

H. Bay, A. Ess, T. Tuytelaars, and L. J. Van-gool, Speeded-up robust features (surf) Computer Vision and Image Understanding, pp.346-359, 2008.

M. Boullé, Une méthode de classification supervisée sans paramètre pour l'apprentissage sur les grandes bases de données, EGC, pp.259-264, 2009.

M. Coustaty, S. Guillas, J. Ogier, M. Visani, and K. Bertet, Reconnaissance de symboles ?? partir d'une signature structurelle flexible et d'un classifieur de type treillis de Galois, Techniques et sciences informatiques, vol.29, issue.6, pp.665-690, 2010.
DOI : 10.3166/tsi.29.665-690

URL : https://hal.archives-ouvertes.fr/hal-00716567

D. Frejlichowski and P. Forczmanski, General Shape Analysis Applied to Stamps Retrieval from Scanned Documents, AIMSA, pp.251-260, 2010.
DOI : 10.1007/978-3-642-15431-7_26

S. Guillas, K. Bertet, and J. Ogier, A Generic Description of the Concept Lattices??? Classifier: Application to Symbol Recognition, GREC, pp.47-60, 2005.
DOI : 10.1007/11767978_5

URL : https://hal.archives-ouvertes.fr/hal-00449723

F. Jurie and B. Triggs, Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.604-610, 2005.
DOI : 10.1109/ICCV.2005.66

URL : https://hal.archives-ouvertes.fr/inria-00548511

G. David and . Lowe, Object recognition from local scaleinvariant features, ICCV, pp.1150-1157, 1999.

K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004.
DOI : 10.1023/B:VISI.0000027790.02288.f2

URL : https://hal.archives-ouvertes.fr/inria-00548554

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188

URL : https://hal.archives-ouvertes.fr/inria-00548227

E. Mephu, N. , and P. Njiwoua, Treillis de concepts et classification supervis??e, Techniques et sciences informatiques, vol.24, issue.4, pp.449-488, 2005.
DOI : 10.3166/tsi.24.449-488

C. Singh and E. Walia, Algorithms for fast computation of Zernike moments and their numerical stability, Image and Vision Computing, vol.29, issue.4, pp.251-259, 2011.
DOI : 10.1016/j.imavis.2010.10.003

J. Yeh, T. Wu, and C. Tsao, Using data mining techniques to predict hospitalization of hemodialysis patients, Decision Support Systems, vol.50, issue.2, pp.439-448, 2011.
DOI : 10.1016/j.dss.2010.11.001

N. Zhang, Computing Optimised Parallel Speeded-Up Robust Features (P-SURF) on Multi-Core Processors, International Journal of Parallel Programming, vol.54, issue.1, pp.138-158, 2010.
DOI : 10.1007/s10766-009-0122-9