D. 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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

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

L. Liu, L. Wang, and X. Liu, In defense of soft-assignment coding, In: ICCV, 2011.

J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, Supervised dictionary learning, In: NIPS, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00322431

Z. Jiang, Z. Lin, and L. S. Davis, Learning a discriminative dictionary for sparse coding via label consistent K-SVD, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995354

L. Yang, R. Jin, R. Sukthankar, and F. Jurie, Unifying discriminative visual codebook generation with classifier training for object category recognition, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587504

URL : https://hal.archives-ouvertes.fr/inria-00548653

J. Yang, K. Yu, and T. Huang, Supervised translation-invariant sparse coding, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539958

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.206.339

Y. Boureau, F. Bach, Y. Lecun, and J. Ponce, Learning mid-level features for recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539963

J. Yang, K. Yu, Y. Gong, and T. Huang, Linear spatial pyramid matching using sparse coding for image classification, 2009.

Y. Boureau, L. Roux, N. Bach, F. Ponce, J. Lecun et al., Ask the locals: Multi-way local pooling for image recognition, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126555

URL : https://hal.archives-ouvertes.fr/hal-00646816

K. Kavukcuoglu, P. Sermanet, Y. Boureau, K. Gregor, M. Mathieu et al., Learning convolutional feature hierachies for visual recognition, In: NIPS, 2010.

H. Lee, C. Ekanadham, and A. Ng, Sparse deep belief net model for visual area V2, In: NIPS, 2008.

K. Sohn, D. Y. Jung, H. Lee, I. Hero, and A. , Efficient learning of sparse, distributed, convolutional feature representations for object recognition, 2011.

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), 2006.
DOI : 10.1109/CVPR.2006.68

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

Y. Boureau, J. Ponce, and Y. Lecun, A theoretical analysis of feature pooling in vision algorithms, In: ICML, 2010.

J. Yang, K. Yu, and T. Huang, Efficient Highly Over-Complete Sparse Coding Using a Mixture Model, 2010.
DOI : 10.1007/978-3-642-15555-0_9

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, Computer Vision and Image Understanding, vol.106, issue.1, 2004.
DOI : 10.1016/j.cviu.2005.09.012

R. Salakhutdinov and G. Hinton, Semantic hashing, International Journal of Approximate Reasoning, vol.50, issue.7, pp.969-978, 2009.
DOI : 10.1016/j.ijar.2008.11.006

URL : http://doi.org/10.1016/j.ijar.2008.11.006

H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng, Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, 2009.
DOI : 10.1145/1553374.1553453

H. Goh, L. Kusmierz, J. H. Lim, N. Thome, and M. Cord, Learning invariant color features with sparse topographic restricted Boltzmann machines, 2011 18th IEEE International Conference on Image Processing, 2011.
DOI : 10.1109/ICIP.2011.6115657

URL : https://hal.archives-ouvertes.fr/hal-00716053

S. Lazebnik and M. Raginsky, Supervised Learning of Quantizer Codebooks by Information Loss Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.7, pp.1294-1309, 2009.
DOI : 10.1109/TPAMI.2008.138

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, 2010.
DOI : 10.1109/CVPR.2010.5540018

G. E. Hinton, Training Products of Experts by Minimizing Contrastive Divergence, Neural Computation, vol.22, issue.8, pp.1771-1800, 2002.
DOI : 10.1162/089976600300015385

K. Swersky, B. Chen, B. Marlin, and N. De-freitas, A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets, 2010 Information Theory and Applications Workshop (ITA), 2010.
DOI : 10.1109/ITA.2010.5454138

G. Hinton, A Practical Guide to Training Restricted Boltzmann Machines, 2010.
DOI : 10.1073/pnas.79.8.2554

V. Nair and G. Hinton, 3D object recognition with deep belief nets, In: NIPS, 2009.

H. Goh, N. Thome, and M. Cord, Biasing restricted Boltzmann machines to manipulate latent selectivity and sparsity, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00716050

J. Ngiam, P. W. Koh, Z. Chen, S. Bhaskar, and A. Ng, Sparse filtering, In: NIPS, 2011.

O. Duchenne, A. Joulin, and J. Ponce, A graph-matching kernel for object categorization, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126445

URL : https://hal.archives-ouvertes.fr/hal-00650345

J. Feng, B. Ni, Q. Tian, and S. Yan, Geometric ?p-norm feature pooling for image classification, 2011.

O. Boiman, E. Shechtman, and M. Irani, In defense of Nearest-Neighbor based image classification, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587598

T. Tuytelaars, M. Fritz, K. Saenko, and T. Darrell, The NBNN kernel, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126449

X. Zhou, N. Cui, Z. Li, F. Liang, and T. Huang, Hierachical Gaussianization for image classification, 2009.