Methods of Information Geometry, Translations of Mathematical monographs, vol.191, 2000. ,
Meta-class features for large-scale object categorization on a budget, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248040
Training with Noise is Equivalent to Tikhonov Regularization, Neural Computation, vol.1, issue.1, 1995. ,
DOI : 10.1162/neco.1994.6.1.147
Efficient match kernels between sets of features for visual recognition, 2009. ,
Multipath Sparse Coding Using Hierarchical Matching Pursuit, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2013.91
In defense of Nearest-Neighbor based image classification, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587598
Stochastic gradient descent, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00750911
The tradeoffs of large scale learning, 2007. ,
Learning mid-level features for recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5539963
Ask the locals: Multi-way local pooling for image recognition, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126555
URL : https://hal.archives-ouvertes.fr/hal-00646816
A norm selection criterion for the generalized delta rule, IEEE Transactions on Neural Networks, vol.2, issue.1, pp.125-155, 1991. ,
DOI : 10.1109/72.80298
The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, 2011. ,
DOI : 10.5244/C.25.76
Image categorization using Fisher kernels of non-iid image models, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247926
URL : https://hal.archives-ouvertes.fr/hal-00685943
XRCE's participation to imageval, 2007. ,
Visual categorization with bags of keypoints, 2004. ,
Imagenet: A large-scale hierarchical image database, 2009. ,
What Does Classifying More Than 10,000 Image Categories Tell Us?, 2010. ,
DOI : 10.1007/978-3-642-15555-0_6
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, 2007. ,
DOI : 10.1007/s11263-009-0275-4
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, 2008. ,
DOI : 10.1007/s11263-009-0275-4
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, pp.303-338, 2010. ,
DOI : 10.1007/s11263-009-0275-4
Improving " bag-of-keypoints " image categorisation, 2005. ,
Geometric p -norm feature pooling for image classification, 2011. ,
On feature combination for multiclass object classification, 2009 IEEE 12th International Conference on Computer Vision, 1998. ,
DOI : 10.1109/ICCV.2009.5459169
Caltech-256 object category dataset, p.7694, 2007. ,
Multimodal semi-supervised learning for image classification, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540120
URL : https://hal.archives-ouvertes.fr/inria-00548640
Combining efficient object localization and image classification, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459257
URL : https://hal.archives-ouvertes.fr/inria-00439516
Convolution kernels on discrete structures, 1999. ,
Exploiting generative models in discriminative classifiers On the burstiness of visual elements, 1998. ,
Aggregating local descriptors into a compact image representation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540039
Product Quantization for Nearest Neighbor Search, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, 2011. ,
DOI : 10.1109/TPAMI.2010.57
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
Modeling spatial layout with fisher vectors for image categorization, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126406
URL : https://hal.archives-ouvertes.fr/inria-00612277
Image classification with deep convolutional neural networks, 2012. ,
Discriminative affine sparse codes for image classification, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995701
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
Building high-level features using large scale unsupervised learning, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2012. ,
DOI : 10.1109/ICASSP.2013.6639343
Large-scale image classification: Fast feature extraction and SVM training, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995477
A similarity measure between unordered vector sets with application to image categorization, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-01507191
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
Mercer kernels for object recognition with local features, 2005. ,
Max-margin additive classifiers for detection, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459203
Classification using intersection kernel support vector machines is efficient, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587630
Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost, 2012. ,
DOI : 10.1007/978-3-642-33709-3_35
URL : https://hal.archives-ouvertes.fr/hal-00722313
Fisher Kernels on Visual Vocabularies for Image Categorization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383266
Adapted Vocabularies for Generic Visual Categorization, 2006. ,
DOI : 10.1007/11744085_36
Large-scale image retrieval with compressed Fisher vectors, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540009
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
Improving the Fisher Kernel for Large-Scale Image Classification, 2010. ,
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630
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
Product code vector quantizers for waveform and voice coding, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.32, issue.3, 1984. ,
DOI : 10.1109/TASSP.1984.1164346
High-dimensional signature compression for large-scale image classification, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995504
Modeling the spatial layout of images beyond spatial pyramids, Pattern Recognition Letters, vol.33, issue.16, pp.2216-2223, 2012. ,
DOI : 10.1016/j.patrec.2012.07.019
Evaluating Color Descriptors for Object and Scene Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, 2010. ,
DOI : 10.1109/TPAMI.2009.154
Pegasos, Proceedings of the 24th international conference on Machine learning, ICML '07, 2007. ,
DOI : 10.1145/1273496.1273598
Video Google: A text retrieval approach to object matching in videos Speech recognition using SVMs, 2001. ,
Lp-norm uniform distribution, Proc, pp.595-601, 1997. ,
Asymptotic Distribution of Coordinates on High Dimensional Spheres, Electronic Communications in Probability, vol.12, issue.0, 2007. ,
DOI : 10.1214/ECP.v12-1294
Generalized rbf feature maps for efficient detection, 2010. ,
Statistical Analysis of Finite Mixture Distributions Unbiased look at dataset bias, 1985. ,
What is the spatial extent of an object?, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206663
Visual word ambiguity. IEEE TPAMI Vedaldi A, Zisserman A (2010) Efficient additive kernels via explicit feature maps, 2010. ,
Sparse kernel approximations for efficient classification and detection, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247943
Recognition with local features: the kernel recipe, Proceedings Ninth IEEE International Conference on Computer Vision, 2003. ,
DOI : 10.1109/ICCV.2003.1238351
Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459167
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
Object categorization by learned universal visual dictionary, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005. ,
DOI : 10.1109/ICCV.2005.171
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
Regression from patch-kernel, 2008. ,
Group sensitive multiple kernel learning for object categorization, 2009. ,
Linear spatial pyramid matching using sparse coding for image classification, 2009. ,
The HTK book (version 3.2.1), 2002. ,
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, 2007. ,
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574
Image Classification Using Super-Vector Coding of Local Image Descriptors, 2010. ,
DOI : 10.1007/978-3-642-15555-0_11