High-dimensional signature compression for large-scale image classification, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995504
Large-scale image classification: Fast feature extraction and SVM training, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995477
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.3736
WSABIE: Scaling up to large vocabulary image annotation, IJCAI, 2011. ,
Label embedding trees for large multi-class tasks, NIPS, 2011. ,
Discriminative learning of relaxed hierarchy for large-scale visual recognition, ICCV, 2011. ,
ImageNet: A large-scale hierarchical image database, CVPR, 2009. ,
What Does Classifying More Than 10,000 Image Categories Tell Us?, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15555-0_6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.3680
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459266
URL : https://hal.archives-ouvertes.fr/inria-00439276
In defense of nearestneighbor based image classification, CVPR, 2008. ,
Statistical pattern recognition, 2002. ,
Distance metric learning for large margin nearest neighbor classification, Journal of Machine Learning Research, vol.10, pp.207-244, 2009. ,
Large Scale Online Learning of Image Similarity through Ranking, Journal of Machine Learning Research, vol.11, pp.1109-1135, 2010. ,
DOI : 10.1007/978-3-642-02172-5_2
Large-scale machine learning with stochastic gradient descent, COMPSTAT, 2010. ,
Quantization, IEEE Transactions on Information Theory, vol.44, issue.6, pp.2325-2383, 1998. ,
DOI : 10.1109/18.720541
Product Quantization for Nearest Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, pp.117-128, 2011. ,
DOI : 10.1109/TPAMI.2010.57
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
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33709-3_35
URL : https://hal.archives-ouvertes.fr/hal-00722313
Visual categorization with bags of keypoints, ECCV Int. Workshop on Stat. Learning in Computer Vision, 2004. ,
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007. ,
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574
Aggregating Local Image Descriptors into Compact Codes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.9, 2012. ,
DOI : 10.1109/TPAMI.2011.235
Learning Visual Similarity Measures for Comparing Never Seen Objects, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.382969
URL : https://hal.archives-ouvertes.fr/hal-00203958
Is that you? Metric learning approaches for face identification, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459197
URL : https://hal.archives-ouvertes.fr/inria-00439290
Large scale metric learning from equivalence constraints, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247939
Learning to rank with (a lot of) word features, Information Retrieval, vol.22, issue.1, pp.291-314, 2010. ,
DOI : 10.1007/s10791-009-9117-9
Large margin nearest local mean classifier, Signal Processing, vol.90, issue.1, pp.236-248, 2010. ,
DOI : 10.1016/j.sigpro.2009.06.015
Metric learning by collapsing classes, NIPS, 2006. ,
Neighbourhood component analysis, NIPS, 2005. ,
LESS: a model-based classifier for sparse subspaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.9, pp.1496-1500, 2005. ,
DOI : 10.1109/TPAMI.2005.182
Large margin taxonomy embedding for document categorization, NIPS, 2009. ,
SIFT-Bag kernel for video event analysis, Proceeding of the 16th ACM international conference on Multimedia, MM '08, 2008. ,
DOI : 10.1145/1459359.1459391
Learning image-to-class distance metric for image classification, ECCV, 2010. ,
DOI : 10.1145/2438653.2438669
One-shot learning of object categories, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.4, pp.594-611, 2006. ,
DOI : 10.1109/TPAMI.2006.79
Learning to detect unseen object classes by between-class attribute transfer, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206594
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
Zero-data learning of new tasks, AAAI Conference on Artificial Intelligence, 2008. ,
Adapting Visual Category Models to New Domains, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15561-1_16
Large margin multi-task metric learning, NIPS, 2010. ,
Evaluating knowledge transfer and zero-shot learning in a large-scale setting, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995627
Joint Image and Word Sense Discrimination for Image Retrieval, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33718-5_10
Convex Optimization, 2004. ,
Large scale metric learning for distance-based image classification, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00735908
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
XRCE's participation to ImagEval, ImageEval Workshop at CVIR, 2007. ,
Towards good practice in large-scale learning for image classification, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248090
URL : https://hal.archives-ouvertes.fr/hal-00690014
Building high-level features using large scale unsupervised learning Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains, ICML, pp.291-298, 1994. ,
Leveraging category-level labels for instance-level image retrieval, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248035
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, ECCV, 2008. ,
DOI : 10.1007/978-3-540-88682-2_24
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