R. Agrawal, T. Imieli´nskiimieli´nski, and A. Swami, Mining association rules between sets of items in large databases, ACM SIGMOD Record, vol.22, issue.2, pp.207-216, 1993.
DOI : 10.1145/170036.170072

A. D. Bagdanov, Color attributes for object detection, CVPR, 2012.

B. Bringmann and A. Zimmermann, The Chosen Few: On Identifying Valuable Patterns, Seventh IEEE International Conference on Data Mining (ICDM 2007), 2007.
DOI : 10.1109/ICDM.2007.85

B. Caputo, E. Hayman, and P. Mallikarjuna, Class-specific material categorisation, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.54

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.7641

J. Chen, S. Shan, C. He, G. Zhao, M. Pietikainen et al., WLD: A Robust Local Image Descriptor, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1705-1720, 2010.
DOI : 10.1109/TPAMI.2009.155

C. Desai, D. Ramanan, C. Fowlkes, and U. C. Irvine, Discriminative models for multi-class object layout, ICCV, 2009.

G. Dong and J. Li, Efficient mining of emerging patterns, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, 1999.
DOI : 10.1145/312129.312191

M. Enzweiler, A. Eigenstetter, B. Schiele, and D. M. Gavrila, Multi-cue pedestrian classification with partial occlusion handling, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.7, 2010.
DOI : 10.1109/CVPR.2010.5540111

M. Everingham, L. Van-gool, C. Williams, J. Winn, and A. Zisserman, The Pascal Visual Object Classes (VOC) Challenge, 2th PASCAL Challenge Workshop, p.8, 2007.
DOI : 10.1007/s11263-009-0275-4

P. F. Felzenszwalb, R. B. 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, 2008.
DOI : 10.1109/TPAMI.2009.167

B. Fernando, ´. E. Fromont, and T. Tuytelaars, Effective Use of Frequent Itemset Mining for Image Classification, ECCV, 2012. 1
DOI : 10.1007/978-3-642-33718-5_16

A. Gilbert, J. Illingworth, and R. Bowden, Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners, ECCV, 2008.
DOI : 10.1007/978-3-540-88682-2_18

A. Gionis, P. Indyk, and R. Motwani, Similarity search in high dimensions via hashing, Proceedings of the 25th International Conference on Very Large Data Bases, VLDB, 1999.

S. U. Hussain and B. Triggs, Feature Sets and Dimensionality Reduction for Visual Object Detection, Procedings of the British Machine Vision Conference 2010, 2010.
DOI : 10.5244/C.24.112

URL : https://hal.archives-ouvertes.fr/hal-00565024

H. Jégou, F. Perronnin, M. Douze, J. Sánchez, P. Pérez et al., Aggregating Local Image Descriptors into Compact Codes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.9, pp.1704-1716, 2012.
DOI : 10.1109/TPAMI.2011.235

F. S. Khan, J. Van-de-weijer, and M. Vanrell, Top-down color attention for object recognition, ICCV, 2009.

L. Lhote, F. Rioult, and A. Soulet, Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005.
DOI : 10.1109/ICDM.2005.31

URL : https://hal.archives-ouvertes.fr/hal-00324691

J. Li, G. Liu, and L. Wong, Mining statistically important equivalence classes and delta-discriminative emerging patterns, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.430-439, 2007.
DOI : 10.1145/1281192.1281240

W. Li and M. Fritz, Recognizing Materials from Virtual Examples, ECCV, 2012.
DOI : 10.1007/978-3-642-33765-9_25

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

P. K. Novak, N. Lavrac, and G. I. Webb, Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining, Journal of Machine Learning Research, vol.10, pp.377-403, 2004.

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, 2007.
DOI : 10.1109/CVPR.2007.383171

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

G. Sharma, S. U. Hussain, and F. Jurie, Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis, ECCV, 2012.
DOI : 10.1007/978-3-642-33786-4_1

URL : https://hal.archives-ouvertes.fr/hal-00722819

J. Sivic and A. Zisserman, Video data mining using configurations of viewpoint invariant regions, CVPR, 2004.

X. Tan and B. Triggs, Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions, Analysis and Modeling of Faces and Gestures, 2007.
DOI : 10.1007/978-3-540-75690-3_13

URL : https://hal.archives-ouvertes.fr/inria-00548674

T. Uno, T. Asai, Y. Uchida, and H. Arimura, An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases, DS, 2004.
DOI : 10.1007/978-3-540-30214-8_2

A. Vedaldi, V. Gulshan, M. Varma, and A. Zisserman, Multiple kernels for object detection, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459183

L. Wang, Y. Wang, T. Jiang, and W. Gao, Instantly telling what happens in a video sequence using simple features, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995377

X. Wang, T. X. Han, and S. Yan, An HOG-LBP human detector with partial occlusion handling, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459207

N. Xie, H. Ling, W. Hu, and X. Zhang, Use bin-ratio information for category and scene classification, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.6, 2010.
DOI : 10.1109/CVPR.2010.5539917

B. Yao and L. Fei-fei, Grouplet: A structured image representation for recognizing human and object interactions, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540234

J. Yuan, M. Yang, and Y. Wu, Mining discriminative cooccurrence patterns for visual recognition, CVPR, 2011.

J. Zhang, K. Huang, Y. Yu, and T. Tan, Boosted local structured HOG-LBP for object localization, CVPR 2011, 2008.
DOI : 10.1109/CVPR.2011.5995678

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.362.6498

L. Zhu, Y. Chen, A. L. Yuille, and W. T. Freeman, Latent hierarchical structural learning for object detection, CVPR, 2010.