The following are publications made possible by iCER resources. MSU faculty that would like to highlight the output of their research that's benefited from iCER resources are invited to contact us.
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“Efficient Multi-label Ranking for Multi-class Learning: Application to Object Recognition”, in Proceedings of International conference on Computer Vision (ICCV 2009), 2009.,
“Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition”, in Proceedings of Neural Information Processign Systems (NIPS 2010), 2010.,
“Approximate kernel k-means: solution to large scale kernel clustering”, in Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, San Diego, CA, USA, 2011, pp. 895–903.,
“Multi-label Learning with Incomplete Class Assignments”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), 2011.,
“Speedup of fuzzy and possibilistic c-means for large-scale clustering”, in IEEE Int. Conf. Fuzzy Systems, Taipei, Taiwan, 2011.,