Y. Boykov and M. Jolly, Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937505

P. Felzenszwalb and D. Huttenlocher, Efficient graphbased image segmentation, Int'l J. of Computer Vision, vol.59, issue.2, 2004.

J. Shi and J. Malik, Normalized cuts and image segmentation, Proc. CVPR, 1997.

D. Comaniciu and P. Meer, Mean shift: a robust approach toward feature space analysis, Proc. PAMI, pp.603-619, 2002.
DOI : 10.1109/34.1000236

L. Yang, P. Meer, and D. J. Foran, Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383229

B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman, Using Multiple Segmentations to Discover Objects and their Extent in Image Collections, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.326

J. Shotton, M. Johnson, and R. Cipolla, Semantic texton forests for image categorization and segmentation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587503

J. Shotton, J. Winn, C. Rother, and A. Criminisi, TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation, Proc. ECCV, 2006.
DOI : 10.1007/11744023_1

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.519

G. Csurka and F. Perronnin, An Efficient Approach to Semantic Segmentation, International Journal of Computer Vision, vol.60, issue.2, pp.1-15, 2010.
DOI : 10.1007/s11263-010-0344-8

J. Verbeek and B. Triggs, Region Classification with Markov Field Aspect Models, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383098

URL : https://hal.archives-ouvertes.fr/inria-00321129

]. C. Pantofaru, C. Schmid, and M. Hebert, Object Recognition by Integrating Multiple Image Segmentations, Proc. ECCV, 2008.
DOI : 10.1007/978-3-540-88690-7_36

URL : https://hal.archives-ouvertes.fr/inria-00548655

J. J. Lim, P. Arbelaez, C. Gu, and J. Malik, Context by region ancestry, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459436

J. Jiang and Z. Tu, Efficient scale space auto-context for image segmentation and labeling, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206761

J. M. Gonfaus, X. Boix, J. Van-de-weijer, A. D. Bagdanov, J. Serrat et al., Harmony potentials for joint classification and segmentation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540048

P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik, Contour Detection and Hierarchical Image Segmentation, Proc. PAMI, pp.898-916, 2011.
DOI : 10.1109/TPAMI.2010.161

J. Mairal, F. Bach, J. Ponce, and G. Sapiro, Online learning for matrix factorization and sparse coding, Journal of Machine Learning Research, vol.11, pp.19-60, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00408716

A. Y. Ng, regularization, and rotational invariance, Twenty-first international conference on Machine learning , ICML '04, 2004.
DOI : 10.1145/1015330.1015435

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.6973

M. Varma and D. Ray, Learning The Discriminative Power-Invariance Trade-Off, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408875

D. G. Lowe, Object recognition from local scaleinvariant features, Proc. ICCV, pp.1150-1157, 1999.
DOI : 10.1109/iccv.1999.790410

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

E. Shechtman and M. Irani, Matching Local Self-Similarities across Images and Videos, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383198

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.1297

J. Yang, J. Wang, and T. Huang, Learning the sparse representation for image classification, Proc. ICME, p.2011