Multiple Instance Learning

Author:

Herrera Francisco,Ventura Sebastián,Bello Rafael,Cornelis Chris,Zafra Amelia,Sánchez-Tarragó Dánel,Vluymans Sarah

Publisher

Springer International Publishing

Reference83 articles.

1. Ali, K., Saenko, K.: Confidence-rated multiple instance boosting for object detection. In: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), pp. 2433–2440. IEEE, Los Alamitos (2014)

2. Amar, R.A., Dooly, D.R., Goldman, S.A., Zhang, Q.: Multiple-instance learning of real-valued data. In: Brodley, C.E., Danyluk, A. (eds.) Proceedings of the 18th International Conference on Machine Learning (ICML 2001), pp. 3–10. Morgan Kaufmann Publishers, San Francisco (2001)

3. Andrews, S., Tsochantaridis, I., Hofmann, T.: Support vector machines for multiple-instance learning. In: Becker, S., Thrun, S., Obermayer, K. (eds.) Advances in Neural Information, vol. 15, pp. 561–568. MIT press, Cambridge (2002)

4. Babenko, B., Yang, M.H., Belongie, S.: Robust object tracking with online multiple instance learning. IEEE Trans. Pattern Anal. 33(8), 1619–1632 (2011)

5. Blaschke, C., Leon, E., Krallinger, M., Valencia, A.: Evaluation of BioCreAtIvE assessment of task 2. BMC Bioinform. 6(1), 1 (2005)

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