H. Arimura, T. Uno, and S. Shimozono, Time and Space Efficient Discovery of Maximal Geometric Graphs, International Conference on Discovery Science, pp.42-55, 2007.
DOI : 10.1007/978-3-540-75488-6_6

F. Brandao-da-silva, S. Goldenstein, S. Tabbone, R. Da, and S. Torres, Image classification based on bag of visual graphs, IEEE SPS, pp.4312-4316, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00939183

C. Chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.27-28, 2011.
DOI : 10.1145/1961189.1961199

K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman, The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, pp.76-77, 2011.
DOI : 10.5244/C.25.76

K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, Return of the Devil in the Details: Delving Deep into Convolutional Nets, Proceedings of the British Machine Vision Conference 2014, 2014.
DOI : 10.5244/C.28.6

D. Cook and L. Holder, Mining Graph Data, J. Wiley & Sons, 2006.
DOI : 10.1002/0470073047

G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray, Visual categorization with bags of keypoints, ECCV, pp.1-22, 2004.

L. Fei-fei, R. Fergus, and P. Perona, Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories, IEEE CVPR Workshop of Generative Model Based Vision, 2004.
DOI : 10.1016/j.cviu.2005.09.012

B. Fernando, ´. E. Fromont, and T. Tuytelaars, Mining Mid-level Features for Image Classification, International Journal of Computer Vision, vol.7724, issue.3, pp.186-203, 2014.
DOI : 10.1007/s11263-014-0700-1

URL : https://hal.archives-ouvertes.fr/hal-00968299

P. Hogeweg, Cellular automata as a paradigm for ecological modeling, Applied Mathematics and Computation, vol.27, issue.1, pp.81-100, 1988.
DOI : 10.1016/0096-3003(88)90100-2

C. Jiang, F. Coenen, and M. Zito, A survey of frequent subgraph mining algorithms, The Knowledge Engineering Review, vol.66, issue.01, pp.75-105, 2013.
DOI : 10.1093/bioinformatics/bth919

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006.
DOI : 10.1109/CVPR.2006.68

URL : https://hal.archives-ouvertes.fr/inria-00548585

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

R. Marinescu-ghemeci, Maximum Induced Matchings in Grids, Optimization Theory, Decision Making, and Operations Research Applications, pp.177-187, 2013.
DOI : 10.1007/978-1-4614-5134-1_12

M. Nilsback and A. Zisserman, Automated Flower Classification over a Large Number of Classes, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, pp.722-729, 2008.
DOI : 10.1109/ICVGIP.2008.47

E. Nowak, F. Jurie, and B. Triggs, Sampling Strategies for Bag-of-Features Image Classification, ECCV, pp.490-503, 2006.
DOI : 10.1007/11744085_38

URL : https://hal.archives-ouvertes.fr/hal-00203752

S. Nowozin, K. Tsuda, T. Uno, T. Kudo, and G. Bakir, Weighted Substructure Mining for Image Analysis, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383171

F. Odone, A. Barla, and A. Verri, Building kernels from binary strings for image matching, IEEE Transactions on Image Processing, vol.14, issue.2, pp.169-180, 2005.
DOI : 10.1109/TIP.2004.840701

B. Ozdemir and S. Aksoy, Image Classification Using Subgraph Histogram Representation, 2010 20th International Conference on Pattern Recognition, pp.1112-1115, 2010.
DOI : 10.1109/ICPR.2010.278

A. Prado, B. Jeudy, E. Fromont, and F. Diot, Mining spatiotemporal patterns in dynamic plane graphs Extracting plane graphs from images, SSPR, pp.71-92, 2010.

F. B. Silva, S. Tabbone, and R. Torres, BoG: A New Approach for Graph Matching, 2014 22nd International Conference on Pattern Recognition, pp.82-87, 2014.
DOI : 10.1109/ICPR.2014.24

URL : https://hal.archives-ouvertes.fr/hal-01098679

W. Voravuthikunchai, B. Crémilleux, and F. Jurie, Histograms of Pattern Sets for Image Classification and Object Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2014.
DOI : 10.1109/CVPR.2014.36

URL : https://hal.archives-ouvertes.fr/hal-00980894

X. Yan and J. Han, gSpan: graph-based substructure pattern mining, ICDM, pp.721-724, 2002.