Efficient match kernel between sets of features for visual recognition, Advances in Neural Information Processing Systems, 2009. ,
Fast kernel classifiers with online and active learning, Journal of Machine Learning Research, vol.6, pp.1579-1619, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-00752361
Sgd-qn: Careful quasi-newton stochastic gradient descent, Journal of Machine Learning Research, vol.10, pp.1737-1754, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00750911
Large-scale machine learning with stochastic gradient descent, Proceedings of the 19th International Conference on Computational Statistics, pp.177-187, 2010. ,
Nonconvex Online Support Vector Machines, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.2, pp.368-381, 2011. ,
DOI : 10.1109/TPAMI.2010.109
Transductive inference for text classification using support vector machines, ICML, pp.200-209, 1999. ,
Lp-norm multiple kernel learning, Journal of Machine Learning Research, vol.12, pp.953-997, 2011. ,
A binary classification framework for two-stage multiple kernel learning, Proceedings of the 29th International Conference on Machine Learning (ICML-12), pp.1295-1302, 2012. ,
An efficient system for combining complementary kernels in complex visual categorization tasks, 2010 IEEE International Conference on Image Processing, pp.3877-3880, 2010. ,
DOI : 10.1109/ICIP.2010.5651051
URL : https://hal.archives-ouvertes.fr/hal-00656365
Learning geometric combinations of gaussian kernels with alternating quasi-newton algorithm, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp.79-84, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00705374
Fast training of support vector machines using sequential minimal optimization, pp.185-208, 1999. ,
Pegasos: Primal estimated sub-gradient solver for svm, ICML, pp.807-814, 2007. ,
The nbnn kernel, Proceedings of 13th International Conference on Computer Vision, 2011. ,