Dictionary-based multiple instance learning


We present a multi-class, multiple instance learning (MIL) algorithm using the dictionary learning framework where the data is given in the form of bags. Each bag contains multiple samples, called instances, out of which at least one belongs to the class of the bag. We propose a noisy-OR model-based optimization framework for learning the dictionaries. Our… (More)
DOI: 10.1109/ICIP.2014.7025031


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@article{Shrivastava2014DictionarybasedMI, title={Dictionary-based multiple instance learning}, author={Ashish Shrivastava and Jaishanker K. Pillai and Vishal M. Patel and Rama Chellappa}, journal={2014 IEEE International Conference on Image Processing (ICIP)}, year={2014}, pages={160-164} }