A. Bosch, A. Zisserman, and X. Munoz, Representing shape with a spatial pyramid kernel, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, 2007.
DOI : 10.1145/1282280.1282340

Y. Cao, C. Wang, Z. Li, L. Zhang, and L. Zhang, Spatial-bag-of-features, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540021

G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray, Visual categorization with bags of keypoints, Intl. Workshop on Stat. Learning in Computer Vision, 2004.

V. Delaitre, I. Laptev, and J. Sivic, Recognizing human actions in still images: a study of bag-of-features and part-based representations, Procedings of the British Machine Vision Conference 2010, 2010.
DOI : 10.5244/C.24.97
URL : https://hal.archives-ouvertes.fr/hal-01060885

P. Felzenszwalb, R. Girshick, D. Mcallester, and D. Ramanan, Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1627-1645, 2010.
DOI : 10.1109/TPAMI.2009.167
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2745

T. Harada, H. Nakayama, and Y. Kuniyoshi, Improving Local Descriptors by Embedding Global and Local Spatial Information, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_53
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.475.5927

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

D. Liu, G. Hua, P. Viola, and T. Chen, Integrated feature selection and higher-order spatial feature extraction for object categorization, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587403

D. Lowe, Distinctive image features form scale-invariant keypoints, IJCV, vol.18, 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

M. Marszalek, C. Schmid, H. Harzallah, and J. Van-de-weijer, Learning object representations for visual object class recognition, Visual recognition challenge workshop, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00548669

N. Morioka and S. Satoh, Learning Directional Local Pairwise Bases with Sparse Coding, Procedings of the British Machine Vision Conference 2010, 2010.
DOI : 10.5244/C.24.32

N. Morioka and S. Satoh, Building Compact Local Pairwise Codebook with Joint Feature Space Clustering, ECCV, 2010.
DOI : 10.1007/978-3-642-15549-9_50

F. Perronnin, J. Sanchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

T. Quack, V. Ferrari, B. Leibe, and L. Van-gool, Efficient Mining of Frequent and Distinctive Feature Configurations, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408906

S. Savarese, J. Winn, and A. Criminisi, Discriminative Object Class Models of Appearance and Shape by Correlatons, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.102

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

J. Yang, K. Yu, and T. Huang, Efficient Highly Over-Complete Sparse Coding Using a Mixture Model, ECCV, 2010.
DOI : 10.1007/978-3-642-15555-0_9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.1478

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

X. Zhou, K. Yu, T. Zhang, and T. S. Huang, Image Classification Using Super-Vector Coding of Local Image Descriptors, ECCV, 2010.
DOI : 10.1007/978-3-642-15555-0_11