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L. Jie and F. Orabona. "Learning from Candidate Labeling Sets". Accepted in Advances in Neural Information Processing Systems 23 (NIPS10), Vancouver, December, 2010. (spotlight)
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F. Orabona, L. Jie and B. Caputo. "Online-Batch Strongly Convex Multi Kernel Learning". In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR10), San Francisco, June 2010. (oral) [PDF] [FULL VERSION] [CODE]
An appetizer:
L. Jie, F. Orabona, M. Fornoni, B. Caputo, and N. Cesa-Bianchi. "OM-2: An online multi-class multi-kernel learning algorithm". [PDF] [CODE] -
L. Jie, B. Caputo and V. Ferrari. "Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation". In Advances in Neural Information Processing Systems 22 (NIPS09), Vancouver, December, 2009. [PDF] [DATA]
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L. Jie, F. Orabona and B. Caputo. "An online framework for learning novel concepts over multiple cues". In Proceedings of the Asian Conference on Computer Vision (ACCV09) , Xi'an, China, September, 2009. (oral) [PDF] [CODE] [DEMO]
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F. Orabona, C. Castellini, B. Caputo, L. Jie and G. Sandini. "On-line Independent Support Vector Machines". Pattern Recognition, 2009. [PDF] [CODE]
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D. Weinshall, H. Hermansky, A. Zweig, L. Jie, H. Jimison, F. Ohl and M. Pavel. "Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree". In Advances in Neural Information Processing Systems 21 (NIPS08), Vancouver, December, 2008. (oral) [ABSTRACT] [PDF]
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J. Luo, A. Pronobis, B. Caputo and P. Jensfelt. "Incremental Learning for Place Recognition in Dynamic Environments". In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS07), San Diego, California. October, 2007. [PDF] [DATA]
