Coached active learning for interactive video search

@inproceedings{Wei2011CoachedAL,
  title={Coached active learning for interactive video search},
  author={Xiao-Yong Wei and Zhen-Qun Yang},
  booktitle={ACM Multimedia},
  year={2011}
}
Active learning with uncertainty sampling has been popularly employed in implementing interactive video search, due to its promise to reduce labeling efforts. However, since the ultimate goal of interactive search is to find as many relevant shots as possible, the purely explorative learning strategy always places conventional active learning in a dilemma whether to explore uncertain areas for a better understanding of query distribution or to harvest in certain areas for more relevant… CONTINUE READING

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Machine Learning and Data Mining in Pattern Recognition

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Querying representative points from a pool based on synthesized queries

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