Learning with submodular functions: A convex optimization perspective. Foundations and Trends in ML, p.7, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00645271
Efficient multi-label classification with many labels, Proc. ICML, 2013. ,
Convex optimization, 2004. ,
On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows, International Journal of Computer Vision, vol.40, issue.9, pp.288-307, 2008. ,
DOI : 10.1007/s11263-009-0238-9
Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization, Proc. ICML, 2013. ,
Relaxations and randomized methods for nonconvex QCQPs, 2003. ,
A kernel method for multi-labelled classification, Adv. NIPS, 2001. ,
Liblinear: A library for large linear classification, JMLR, issue.8, 2008. ,
On the Stationary Values of a Second-Degree Polynomial on the Unit Sphere, Journal of the Society for Industrial and Applied Mathematics, vol.13, issue.4, 1965. ,
DOI : 10.1137/0113073
A constrained eigenvalue problem, 1991. ,
Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming, Journal of the ACM, vol.42, issue.6, 1995. ,
DOI : 10.1145/227683.227684
Error detecting and error correcting codes. Bell system technical journal, 1950. ,
DOI : 10.1002/j.1538-7305.1950.tb00463.x
URL : http://campus.unibo.it/10913/1/hamming1950.pdf
Large scale max-margin multi-label classification with priors, Proc. ICML, 2010. ,
Text categorization with support vector machines: Learning with many relevant features machine learning, Proc. ECML-98, 1998. ,
A support vector method for multivariate performance measures, Proceedings of the 22nd international conference on Machine learning , ICML '05, p.10, 2005. ,
DOI : 10.1145/1102351.1102399
Low-Rank Optimization on the Cone of Positive Semidefinite Matrices, SIAM Journal on Optimization, vol.20, issue.5, pp.2327-2351, 2010. ,
DOI : 10.1137/080731359
Multilabel text classification for automated tag suggestion, Proc. ECML, 2008. ,
Maximum margin multi-label structured prediction, Adv. NIPS, 2011. ,
A shared task involving multi-label classification of clinical free text, Proceedings of the Workshop on BioNLP 2007 Biological, Translational, and Clinical Language Processing, BioNLP '07, 2007. ,
DOI : 10.3115/1572392.1572411
Submodular multi-label learning, Adv. NIPS, 2008. ,
Kernel-based learning of hierarchical multilabel classification models, JMLR, issue.1, 2006. ,
A Note on a Theorem of Forsythe and Golub, SIAM Journal on Applied Mathematics, vol.23, issue.3, 1972. ,
DOI : 10.1137/0123032
Max-margin markov networks, Adv. NIPS, p.3, 2003. ,
The Quadratic Eigenvalue Problem, SIAM Review, vol.43, issue.2, 2001. ,
DOI : 10.1137/S0036144500381988
Large margin methods for structured and interdependent output variables, Journal of Machine Learning Research, vol.6, pp.1453-1484, 2004. ,
Multi-label classification: An overview, International Journal of Data Warehousing and Mining (IJDWM), vol.2, issue.1 3, 2007. ,
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
A Review on Multi-Label Learning Algorithms, IEEE Transactions on Knowledge and Data Engineering, vol.26, issue.8, 2013. ,
DOI : 10.1109/TKDE.2013.39