Support vector machines for multiple-instance learning, Advances in Neural Information Processing Systems, 2003. ,
Modeling annotated data, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval , SIGIR '03, 2003. ,
DOI : 10.1145/860435.860460
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.6686
Visual categorization with bags of keypoints, ECCV Int. Workshop on Stat. Learning in Computer Vision, 2004. ,
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.39, issue.1, pp.1-38, 1977. ,
Solving the multiple instance problem with axis-parallel rectangles, Artificial Intelligence, vol.89, issue.1-2, pp.31-71, 1997. ,
DOI : 10.1016/S0004-3702(96)00034-3
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary, European Conference on Computer Vision, 2002. ,
DOI : 10.1007/3-540-47979-1_7
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, 2007. ,
DOI : 10.1007/s11263-009-0275-4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.6629
LIBLINEAR: A library for large linear classification, Journal of Machine Learning Research, pp.1871-1874, 2008. ,
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
Class segmentation and object localization with superpixel neighborhoods, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459175
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.4613
The Cutting-Plane Method for Solving Convex Programs, Journal of the Society for Industrial and Applied Mathematics, vol.8, issue.4, pp.703-712, 1960. ,
DOI : 10.1137/0108053
Top-down color attention for object recognition, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459362
What energy functions can be minimized via graph cuts? IEEE Pattern Analysis and Machine Intelligence, 2004. ,
DOI : 10.1109/tpami.2004.1262177
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1823
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.12, pp.312129-2142, 2009. ,
DOI : 10.1109/TPAMI.2009.144
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
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
Weakly supervised discriminative localization and classification: a joint learning process, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459426
Fisher Kernels on Visual Vocabularies for Image Categorization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383266
Improving the Fisher kernel for largescale image classification, European Conference on Computer Vision, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00548630
Learning a classification model for segmentation, Proceedings Ninth IEEE International Conference on Computer Vision, 2003. ,
DOI : 10.1109/ICCV.2003.1238308
Using Multiple Segmentations to Discover Objects and their Extent in Image Collections, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.326
Automatic discovery of meaningful object parts with latent CRFs, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540220
Normalized cuts and image segmentation, International Conference on Computer Vision and Pattern Recognition, 1997. ,
Large margin methods for structured and interdependent output variables, Journal of Machine Learning Research, vol.6, pp.1453-1484, 2005. ,
The Nature of Statistical Learning Theory, 1995. ,
Joint multi-label multi-instance learning for image classification, International Conference on Computer Vision and Pattern Recognition, 2008. ,
Multi-instance multi-label learning with application to scene classification, Advances in Neural Information Processing Systems, 2006. ,
M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning, 2008 Eighth IEEE International Conference on Data Mining, 2008. ,
DOI : 10.1109/ICDM.2008.27