S. Agarwal and D. Roth, Learning a Sparse Representation for Object Detection, ECCV, 2002.
DOI : 10.1007/3-540-47979-1_8

Y. Amit and D. Geman, A Computational Model for Visual Selection, Neural Computation, vol.39, issue.3, pp.1691-1715, 1999.
DOI : 10.1038/381520a0

X. Chen, L. Gu, S. Li, and H. Zhang, Learning representative local features for face detection, CVPR, 2001.

N. Cristianini and J. Shawe-taylor, Support Vector Machines, 2000.

S. Lazebnik, C. Schmid, and J. Ponce, Sparse texture representation using affine-invariant neighborhoods, CVPR, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00548232

D. G. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4065

S. Mahamud and M. Hebert, The optimal distance measure for object detection, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211361

K. Mikolajczyk and C. Schmid, Indexing based on scale invariant interest points, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.525-531, 2001.
DOI : 10.1109/ICCV.2001.937561

URL : https://hal.archives-ouvertes.fr/inria-00548276

C. Papageorgiou and T. Poggio, A trainable system for object detection, International Journal of Computer Vision, vol.38, issue.1, pp.15-33, 2000.
DOI : 10.1023/A:1008162616689

R. Fergus, P. Perona, and A. Zisserman, Object class recognition by unsupervised scale-invariant learning, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211479

T. Rikert, M. Jones, and P. Viola, A cluster-based statistical model for object detection, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1046-1053, 1999.
DOI : 10.1109/ICCV.1999.790386

A. Rosenfeld, R. Hummel, and S. Zucker, Scene Labeling by Relaxation Operations, IEEE Transactions on Systems, Man, and Cybernetics, vol.6, issue.6, pp.420-433, 1976.
DOI : 10.1109/TSMC.1976.4309519

C. Schmid, Constructing models for content-based image retrieval, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990922

URL : https://hal.archives-ouvertes.fr/inria-00548274

K. Sung and T. Poggio, Example-based learning for view-based human face detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.1, pp.39-51, 1998.
DOI : 10.1109/34.655648

S. Ullman, E. Sali, and M. Vidal-naquet, A Fragment-Based Approach to Object Representation and Classification, 4th International Workshop on Visual Form, 2001.
DOI : 10.1007/3-540-45129-3_7

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001.
DOI : 10.1109/CVPR.2001.990517

M. Weber, M. Welling, and P. Perona, Unsupervised Learning of Models for Recognition, ECCV, pp.18-32, 2000.
DOI : 10.1007/3-540-45054-8_2