J. Cai, D. Ee, B. Pham, P. Roe, and J. Zhang, Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information, pp.293-298, 2007.
DOI : 10.1109/ISSNIP.2007.4496859

G. Cerutti, L. Tougne, A. Vacavant, and D. Coquin, A Parametric Active Polygon for Leaf Segmentation and Shape Estimation, 7th International Symposium on Visual Computing. p. 1. Las Vegas, United States, 2011.
DOI : 10.1016/j.cviu.2009.05.002

URL : https://hal.archives-ouvertes.fr/hal-00622269

R. E. Fan, K. W. Chang, C. J. Hsieh, X. R. Wang, and C. J. Lin, Liblinear: A library for large linear classification, The Journal of Machine Learning Research, vol.9, pp.1871-1874, 2008.

K. J. Gaston and M. A. Neill, Automated species identification: why not?, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.359, issue.1444, pp.655-667, 1444.
DOI : 10.1098/rstb.2003.1442

J. C. Van-gemert, C. J. Veenman, A. W. Smeulders, and J. M. Geusebroek, Visual word ambiguity. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.32, issue.7, pp.1271-1283, 2010.

H. Goëau, P. Bonnet, A. Joly, A. Affouard, V. Bakic et al., Pl@ntNet Mobile 2014, Proceedings of International Conference on Multimedia Retrieval, ICMR '14, p.527, 2014.
DOI : 10.1145/2578726.2582618

H. Goëau, A. Joly, S. Selmi, P. Bonnet, E. Mouysset et al., Visual-based plant species identification from crowdsourced data, Proceedings of the 19th ACM international conference on Multimedia, MM '11, pp.0-0, 2011.
DOI : 10.1145/2072298.2072472

P. H. Gosselin, N. Murray, H. Jégou, and F. Perronnin, Revisiting the Fisher vector for fine-grained classification, Pattern Recognition Letters, vol.49, pp.92-98, 2014.
DOI : 10.1016/j.patrec.2014.06.011

URL : https://hal.archives-ouvertes.fr/hal-01056223

T. H. Hsu, C. H. Lee, and L. H. Chen, An interactive flower image recognition system, Multimedia Tools and Applications, vol.2, issue.1, pp.53-73, 2011.
DOI : 10.1007/s11042-010-0490-6

Y. Huang, Z. Wu, L. Wang, and T. Tan, Feature coding in image classification: A comprehensive study. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.36, issue.3, pp.493-506, 2014.

H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez et al., Aggregating local image descriptors into compact codes. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.9, pp.1704-1716, 2012.

Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long et al., Caffe, Proceedings of the ACM International Conference on Multimedia, MM '14, pp.1408-5093, 2014.
DOI : 10.1145/2647868.2654889

Y. G. Jiang, C. W. Ngo, and J. Yang, Towards optimal bag-of-features for object categorization and semantic video retrieval, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.494-501, 2007.
DOI : 10.1145/1282280.1282352

A. Joly, H. Goëau, P. Bonnet, V. Baki´cbaki´c, J. Barbe et al., Interactive plant identification based on social image data, Ecological Informatics, vol.23, pp.22-34, 2014.
DOI : 10.1016/j.ecoinf.2013.07.006

URL : https://hal.archives-ouvertes.fr/hal-00908872

H. Kebapci, B. Yanikoglu, and G. Unal, Plant Image Retrieval Using Color, Shape and Texture Features, The Computer Journal, vol.54, issue.9, pp.1475-1490, 2011.
DOI : 10.1093/comjnl/bxq037

H. C. Kim and Z. Ghahramani, Bayesian classifier combination, International conference on artificial intelligence and statistics, pp.619-627, 2012.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks In: Advances in neural information processing systems, pp.1097-1105, 2012.

N. Kumar, P. N. Belhumeur, A. Biswas, D. W. Jacobs, W. J. Kress et al., Leafsnap: A Computer Vision System for Automatic Plant Species Identification, pp.502-516, 2012.
DOI : 10.1007/978-3-642-33709-3_36

S. Lazebnik, C. Schmid, and J. Ponce, Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pp.2169-2178, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00548585

S. Mouine, I. Yahiaoui, and A. Verroust-blondet, Advanced shape context for plant species identification using leaf image retrieval, Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR '12, 2012.
DOI : 10.1145/2324796.2324853

URL : https://hal.archives-ouvertes.fr/hal-00726785

M. E. 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

F. Perronnin and C. Dance, Fisher Kernels on Visual Vocabularies for Image Categorization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383266

F. Perronnin, J. Sánchez, and T. Mensink, Improving the fisher kernel for largescale image classification, Computer Vision?ECCV 2010, pp.143-156, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00548630

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Lost in quantization: Improving particular object retrieval in large scale image databases, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587635

J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek, Image Classification with the Fisher Vector: Theory and Practice, International Journal of Computer Vision, vol.73, issue.2, pp.222-245, 2013.
DOI : 10.1007/s11263-013-0636-x

K. Simonyan, A. Vedaldi, and A. Zisserman, Deep Fisher networks for large-scale image classification, Advances in Neural Information Processing Systems, 2013.

E. Simpson, S. Roberts, I. Psorakis, and . Smith, Dynamic Bayesian Combination of Multiple Imperfect Classiers, 2012.

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1470-1477, 2003.
DOI : 10.1109/ICCV.2003.1238663

C. Spampinato, V. Mezaris, and J. Van-ossenbruggen, Multimedia analysis for ecological data, Proceedings of the 20th ACM international conference on Multimedia, MM '12, pp.1507-1508, 2012.
DOI : 10.1145/2393347.2396540

C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed et al., Going deeper with convolutions, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
DOI : 10.1109/CVPR.2015.7298594

V. M. Trifa, A. N. Kirschel, C. E. Taylor, and E. E. Vallejo, Automated species recognition of antbirds in a Mexican rainforest using hidden Markov models, The Journal of the Acoustical Society of America, vol.123, issue.4, 2008.
DOI : 10.1121/1.2839017

J. Wang, J. Yang, K. Yu, F. Lv, T. Huang et al., Locality-constrained Linear Coding for image classification, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3360-3367, 2010.
DOI : 10.1109/CVPR.2010.5540018

J. Yang, K. Yu, Y. Gong, and T. Huang, Linear spatial pyramid matching using sparse coding for image classification, CVPR 2009. IEEE Conference on, pp.1794-1801, 2009.