Self-paced learning with diversity

Advances in Neural Information Processing Systems

Volumn 3, Issue January, 2014, Pages 2078-2086

  Jiang, Lu ^a   Meng, Deyu ^a,b   Yu, Shoou I ^a   Lan, Zhenzhong ^a   Shan, Shiguang ^a,c   Hauptmann, Alexander G ^a  

^a Carnegie Mellon University   (United States)

^b XI'AN JIAOTONG UNIVERSITY   (China)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX SAMPLES; LEARNING OBJECTIVES; LEARNING PROCESS; LEARNING TASKS; REAL-WORLD DATASETS; REGULARIZATION TERMS; SAMPLE SELECTION; SELF-PACED LEARNING;

INFORMATION SCIENCE;

EID: 84937895884     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Y. Bengio, J. Louradour, R. Collobert, and J. Weston, Curriculum learning. In ICML, 2009.
2. Y. Bengio, A. Courville, and P. Vincent. Representation learning: A review and new perspectives. IEEE Trans. PAMI 35(8):1798-1828, 2013.
3. S. Basu and J. Christensen. Teaching classification boundaries to humans. In AAAI, 2013.
4. V. I. Spitkovsky, H. Alshawi, and D. Jurafsky. Baby steps: How "Less is More" in unsupervised dependency parsing. In NIPS, 2009.
5. A. Lapedriza, H. Pirsiavash, Z. Bylinskii, and A. Torralba. Are all training examples equally valuable? CoRR abs/1311.6510, 2013.
6. M. P. Kumar, B. Packer, and D. Koller. Self-paced learning for latent variable models. In NIPS, 2010.
7. L. Jiang, D. Meng, T. Mitamura, and A. Hauptmann. Easy samples first: self-paced reranking for zero-example multimedia search. In MM, 2014.
8. K. Tang, V. Ramanathan, L. Fei-Fei, and D. Koller. Shifting weights: Adapting object detectors from image to video. In NIPS, 2012.
9. Z. Lan, L. Jiang, S. I. Yu, et al CMU-Informedia at TRECVID 2013 multimedia event detection. In TRECVID, 2013.
10. F. Khan, X. J. Zhu, and B. Mutlu. How do humans teach: On curriculum learning and teaching dimension. In NIPS, 2011.
11. M. P. Kumar, H. Turki, D. Preston, and D. Koller. Learning specfic-class segmentation from diverse data. In ICCV, 2011.
12. J. S. Supancic and D. Ramanan. Self-paced learning for long-term tracking. In CVPR, 2013.
13. Y. J. Lee and K. Grauman. Learning the easy things first: Self-paced visual category discovery. In CVPR, 2011.
14. M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society: Series B 68(1):49-67, 2006.
15. P. Over, G. Awad, M. Michel, et al TRECVID 2013 - an overview of the goals, tasks, data, evaluation mechanisms and metrics. In TRECVID, 2013.
16. L. Breiman. Random forests. Machine learning. 45(1):5-32, 2001.
17. L. Jiang, A. Hauptmann, and G. Xiang. Leveraging high-level and low-level features for multimedia event detection. In MM, 2012.
18. J. Friedman. Stochastic Gradient Boosting. Coputational Statistics and Data Analysis. 38(4):367-378, 2002.
19. L. Jiang, T. Mitamura, S. Yu, and A. Hauptmann. Zero-Example Event Search using MultiModal Pseudo Relevance Feedback. In ICMR, 2014.
20. J. Deng, W. Dong, R. Socher, L. J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
21. M. Marszalek, I. Laptev, and C. Schmid. Actions in context. In CVPR, 2009.
22. J. C. Niebles, C. W. Chen, and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010.
23. H. Wang and C. Schmid. Action recognition with improved trajectories. In ICCV, 2013.
24. Z. Lan, X. Li, and A. Hauptmann. Temporal Extension of Scale Pyramid and Spatial Pyramid Matching for Action Recognition. In arXiv preprint arXiv:1408.7071, 2014.
25. E. Vig, M. Dorr, and D. Cox. Space-variant descriptor sampling for action recognition based on saliency and eye movements. In ECCV, 2012.
26. Y. G. Jiang, Q. Dai, X. Xue, W. Liu, and C. W. Ngo. Trajectory-based modeling of human actions with motion reference points. In ECCV, 2012.
27. M. Jain, H. Jégou, and P. Bouthemy. Better exploiting motion for better action recognition. In CVPR, 2013.
28. W. Brendel and S. Todorovic. Learning spatiotemporal graphs of human activities. In ICCV, 2011.
29. A. Gaidon, Z. Harchaoui, and C. Schmid. Recognizing activities with cluster-trees of tracklets. In BMVC, 2012