Showing results 1 to 11 of 11
Title | Author(s) | Issue Date | Views | |
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Visual event recognition in videos by learning from web data Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2010 | |||
Text-based image retrieval using progressive multi-instance learning Proceeding/Conference:Proceedings of the IEEE International Conference on Computer Vision | 2011 | |||
Learning with augmented features for heterogeneous domain adaptation Proceeding/Conference:Proceedings of the 29th International Conference on Machine Learning, ICML 2012 | 2012 | |||
Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2012 | |||
Event recognition in videos by learning from heterogeneous web sources Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2013 | |||
Efficient discriminative learning of class hierarchy for many class prediction Proceeding/Conference:Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I | 2013 | |||
Domain transfer SVM for video concept detection Proceeding/Conference:2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009 | 2009 | |||
Domain adaptation from multiple sources via auxiliary classifiers Proceeding/Conference:Proceedings of the 26th International Conference On Machine Learning, ICML 2009 | 2009 | |||
Co-labeling: A new multi-view learning approach for ambiguous problems Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM | 2012 | |||
Batch mode Adaptive Multiple Instance Learning for computer vision tasks Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2012 | |||
Action recognition using context and appearance distribution features Proceeding/Conference:Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | 2011 |