K. Barnard, P. Duygulu, D. Forsyth, N. De-freitas, D. Blei et al., Matching words and pictures, JMLR, vol.3, pp.1107-1135, 2003.

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

N. Ben-haim, B. Babenko, and S. Belongie, Improving Web-based Image Search via Content Based Clustering, Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop, 2006.

A. C. Berg and J. Malik, Geometric blur for template matching, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990529

T. Berg and D. Forsyth, Animals on the Web, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.57

C. Bishop, Pattern recognition and machine learning, 2006.

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

A. Bosch, A. Zisserman, and X. Munoz, Image Classification using Random Forests and Ferns, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409066

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. Boureau, F. Bach, Y. Le-cun, 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

Y. Boureau, J. Ponce, and Y. Lecun, A theoretical analysis of feature pooling in visual recognition, ICML, 2010.

L. Breiman, Random forests, Machine Learning, pp.5-32, 2001.

D. Comaniciu, V. Ramesh, and P. Meer, Real-time tracking of non-rigid objects using mean shift, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.142-149, 2000.
DOI : 10.1109/CVPR.2000.854761

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

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

M. Douze, M. Guillaumin, T. Mensink, C. Schmid, and J. Verbeek, INRIA- LEARs participation to ImageCLEF, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00439299

M. Everingham, L. Van-gool, C. Williams, J. Winn, and A. Zisserman, The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, 2009.
DOI : 10.1007/s11263-009-0275-4

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

R. Fergus, L. Fei-fei, P. Perona, and A. Zisserman, Learning object categories from Google's image search, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.142

R. Fergus, P. Perona, and A. Zisserman, Object class recognition by unsupervised scale-invariant learning, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211479

R. Fergus, P. Perona, and A. Zisserman, A Visual Category Filter for Google Images, ECCV, 2004.
DOI : 10.1007/978-3-540-24670-1_19

V. Ferrari, F. Jurie, and C. Schmid, From Images to Shape Models for Object Detection, International Journal of Computer Vision, vol.26, issue.5, pp.284-303, 2010.
DOI : 10.1007/s11263-009-0270-9

URL : https://hal.archives-ouvertes.fr/inria-00308388

C. Frankel, M. Swain, and V. Athitsos, WebSeer: an image search engine for the world wide web, CVPR, 1997.

M. Fritz and B. Schiele, Decomposition, discovery and detection of visual categories using topic models, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587803

B. Fulkerson, A. Vedaldi, and S. Soatto, Localizing Objects with Smart Dictionaries, ECCV, 2008.
DOI : 10.1007/978-3-540-88682-2_15

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.7142

P. Geurts, D. Ernst, and L. Wehenkel, Extremely randomized trees, Machine Learning, pp.3-42, 2006.
DOI : 10.1007/s10994-006-6226-1

URL : https://hal.archives-ouvertes.fr/hal-00341932

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

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, 1988.
DOI : 10.5244/C.2.23

T. Hofmann, Unsupervised learning by probabilistic latent semantic analysis, Machine Learning, 2001.

T. Jaakkola and D. Haussler, Exploiting generative models in discriminative classifiers, NIPS, 1999.

A. K. Jain and A. Vailaya, Image retrieval using color and shape, Pattern Recognition, vol.29, issue.8, 1996.
DOI : 10.1016/0031-3203(95)00160-3

Y. Jing and S. Baluja, Pagerank for product image search, Proceeding of the 17th international conference on World Wide Web , WWW '08, 2008.
DOI : 10.1145/1367497.1367540

T. Joachims, A support vector method for multivariate performance measures, Proceedings of the 22nd international conference on Machine learning , ICML '05, 2005.
DOI : 10.1145/1102351.1102399

F. Jurie and B. Triggs, Creating efficient codebooks for visual recognition, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005.
DOI : 10.1109/ICCV.2005.66

URL : https://hal.archives-ouvertes.fr/inria-00548511

T. Kadir and M. Brady, Saliency, scale and image description, International Journal of Computer Vision, vol.45, issue.2, pp.83-105, 2001.
DOI : 10.1023/A:1012460413855

Y. Ke and R. Sukthankar, PCA-SIFT: a more distinctive representation for local image descriptors, CVPR, 2004.

J. Kelley, The cutting-plane method for solving convex programs, SIAM Journal on Control and Optimization, 1960.

J. Krapac, M. Allan, J. Verbeek, and F. Jurie, Improving web image search results using query-relative classifiers, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540092

URL : https://hal.archives-ouvertes.fr/inria-00548636

V. Lavrenko and W. Croft, Relevance based language models, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '01, 2001.
DOI : 10.1145/383952.383972

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.31-1294, 2009.
DOI : 10.1109/TPAMI.2008.138

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

B. Leibe, K. Mikolajczyk, and B. Schiele, Efficient Clustering and Matching for Object Class Recognition, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.81

T. Leung and J. Malik, Recognizing surfaces using three-dimensional textons, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1010-1017, 1999.
DOI : 10.1109/ICCV.1999.790379

T. Leung and J. Malik, Representing and recognizing the visual appearance of materials using three-dimensional textons, International Journal of Computer Vision, vol.43, issue.1, pp.29-44, 2001.
DOI : 10.1023/A:1011126920638

F. Li, R. Fergus, and P. Perona, One-shot learning of object categories, PAMI, vol.28, issue.4, pp.594-611, 2006.

L. Li, G. Wang, and F. Li, OPTIMOL: automatic object picture collection via incremental model learning, CVPR, 2007.
DOI : 10.1109/cvpr.2007.383048

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.4802

X. Li, C. Snoek, and M. Worring, Learning social tag relevance by neighbor voting, IEEE Transactions on Multimedia, issue.7, p.11, 2009.

X. Lian, Z. Li, B. Lu, and L. Zhang, Max-Margin Dictionary Learning for Multiclass Image Categorization, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_12

W. Lin, R. Jin, and A. G. Hauptmann, Web image retrieval re-ranking with relevance model, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003), pp.242-248, 2003.
DOI : 10.1109/WI.2003.1241200

T. Lindeberg, Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998.
DOI : 10.1023/A:1008045108935

D. Liu, G. Hua, P. Viola, and T. Chen, Integrated feature selection and higherorder spatial feature extraction for object categorization, CVPR, 2008.

R. López-sastre, T. Tuytelaars, F. Acevedo-rodríguez, and S. Maldonado-bascón, Towards a more discriminative and semantic visual vocabulary, Computer Vision and Image Understanding, vol.115, issue.3, pp.415-425, 2011.
DOI : 10.1016/j.cviu.2010.10.009

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

S. Maji and A. Berg, Max-margin additive models for detection, ICCV, 2009.
DOI : 10.1109/iccv.2009.5459203

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.4717

B. S. Manjunath and W. Y. Ma, Texture features for browsing and retrieval of image data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.8, pp.18-837, 1996.
DOI : 10.1109/34.531803

K. Mikolajczyk and C. Schmid, Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004.
DOI : 10.1023/B:VISI.0000027790.02288.f2

URL : https://hal.archives-ouvertes.fr/inria-00548554

F. Moosmann, E. Nowak, and F. Jurie, Randomized Clustering Forests for Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.9, pp.1632-1646, 2008.
DOI : 10.1109/TPAMI.2007.70822

URL : https://hal.archives-ouvertes.fr/inria-00548666

F. Moosmann, B. Triggs, and F. Jurie, Fast discriminative visual codebooks using randomized clustering forests, NIPS, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00203734

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

N. Morsillo, C. Pal, and R. Nelson, Semi-supervised learning of visual classifiers from web images and text, IJCAI, 2009.

D. Nistér and H. Stewénius, Scalable Recognition with a Vocabulary Tree, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.264

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

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

S. Obdrzalek and J. Matas, Object Recognition using Local Affine Frames on Distinguished Regions, Procedings of the British Machine Vision Conference 2002, 2002.
DOI : 10.5244/C.16.9

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.672.8408

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002.
DOI : 10.1109/TPAMI.2002.1017623

A. Oliva and A. Torralba, Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.42, issue.3, pp.145-175, 2001.
DOI : 10.1023/A:1011139631724

A. Opelt and A. Pinz, Object Localization with Boosting and Weak Supervision for Generic Object Recognition, SCIA, 2005.
DOI : 10.1007/11499145_87

A. Opelt, A. Pinz, and A. Zisserman, A Boundary-Fragment-Model for Object Detection, ECCV, 2006.
DOI : 10.1007/978-3-540-24671-8_41

M. Palatucci, D. Pomerleau, G. Hinton, and T. Mitchell, Zero-shot learning with semantic output codes, NIPS, 2009.

F. Perronnin, Universal and Adapted Vocabularies for Generic Visual Categorization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.7, pp.1243-1256, 2008.
DOI : 10.1109/TPAMI.2007.70755

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.7388

F. Perronnin, C. Dance, G. Csurka, and M. Bressan, Adapted Vocabularies for Generic Visual Categorization, ECCV, 2006.
DOI : 10.1007/11744085_36

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.8075

F. Perronnin, J. Sánchez, and Y. Liu, Large-scale image categorization with explicit data embedding, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539914

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

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383172

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, 2008.
DOI : 10.1109/CVPR.2008.4587635

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

A. Quattoni, M. Collins, and T. Darrell, Learning Visual Representations using Images with Captions, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383173

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.2484

M. Riesenhuber and T. Poggio, Hierarchical models of object recognition in cortex, Nature Neuroscience, vol.2, pp.1019-1025, 1999.

M. Roizman and M. Last, Look-Ahead Mechanism Integration in Decision Tree Induction Models, Advances in Web Intelligence and Data Mining, 2006.
DOI : 10.1007/3-540-33880-2_29

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

F. Schroff, A. Criminisi, and A. Zisserman, Harvesting image databases from the web, ICCV, 2007.
DOI : 10.1109/iccv.2007.4409099

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.4040

F. Schroff, A. Criminisi, and A. Zisserman, Harvesting image databases from the web, 2011.
DOI : 10.1109/iccv.2007.4409099

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.4040

Y. Shinohara and N. Otsu, Facial expression recognition using fisher weight maps. Automatic Face and Gesture Recognition, 2004.
DOI : 10.1109/afgr.2004.1301582

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.1442

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

A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.12, pp.22-1349, 2000.
DOI : 10.1109/34.895972

C. Steger, An unbiased detector of curvilinear structures, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.2, pp.113-125, 1998.
DOI : 10.1109/34.659930

T. Tommasi and B. Caputo, The more you know, the less you learn: from knowledge transfer to one-shot learning of object categories, Procedings of the British Machine Vision Conference 2009, 2009.
DOI : 10.5244/C.23.80

J. Van-de-weijer and C. Schmid, Coloring Local Feature Extraction, ECCV, 2006.
DOI : 10.1002/col.10049

URL : https://hal.archives-ouvertes.fr/inria-00548576

J. Van-de-weijer, C. Schmid, and J. Verbeek, Learning color names from realworld images, CVPR, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00321127

J. Van-gemert, C. Snoek, C. Veenman, A. Smeulders, and J. Geusebroek, Comparing compact codebooks for visual categorization, Computer Vision and Image Understanding, vol.114, issue.4, pp.450-462, 2010.
DOI : 10.1016/j.cviu.2009.08.004

V. N. Vapnik, Statistical learning theory, 1998.

M. Varma and D. Ray, Learning The Discriminative Power-Invariance Trade-Off, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408875

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.976

G. Wang, D. Hoiem, and D. Forsyth, Building text features for object image classification, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206816

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.2312

M. Weber, M. Welling, and P. Perona, Unsupervised Learning of Models for Recognition, ECCV, 2000.
DOI : 10.1007/3-540-45054-8_2

J. Winn, A. Criminisi, and T. Minka, Object categorization by learned universal visual dictionary, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1800-1807, 2005.
DOI : 10.1109/ICCV.2005.171

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.8714

K. Wnuk and S. Soatto, Filtering Internet image search results towards keyword based category recognition, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587621

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.178

J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba, SUN database: Large-scale scene recognition from abbey to zoo, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539970

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.2228

K. Yanai and K. Barnard, Probabilistic web image gathering, Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval , MIR '05, 2005.
DOI : 10.1145/1101826.1101838

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.553.3461

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

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

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. Zhang, M. Marsza?ek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.73-213, 2007.
DOI : 10.1007/s11263-006-9794-4

URL : https://hal.archives-ouvertes.fr/inria-00548574

W. Zhang, A. Surve, X. Fern, and T. Dietterich, Learning non-redundant codebooks for classifying complex objects, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, 2009.
DOI : 10.1145/1553374.1553533

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.8254

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