# Optimal Online Data Sampling or How to Hire the Best Secretaries

@article{Girdhar2009OptimalOD, title={Optimal Online Data Sampling or How to Hire the Best Secretaries}, author={Yogesh A. Girdhar and Gregory Dudek}, journal={2009 Canadian Conference on Computer and Robot Vision}, year={2009}, pages={292-298} }

The problem of online sampling of data, can be seen as a generalization of the classical secretary problem. The goal is to maximize the probability of picking the k highest scoring samples in our data, making the decision to select or reject a sample on-line. We present a new and simple on-line algorithm to optimally make this selection. We then apply this algorithm to a sequence of images taken by a mobile robot, with the goal of identifying the most interesting and informative images.

## Figures from this paper

## 17 Citations

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