@inproceedings{
 title = {Online Navigation Summaries},
 type = {inproceedings},
 year = {2010},
 pages = {5035-5040},
 websites = {http://cim.mcgill.ca/~yogesh/publications/icra2010.pdf},
 month = {5},
 id = {b90bf8b3-c554-39eb-b5ba-a262b4ddd61b},
 created = {2011-11-19T13:45:48.000Z},
 file_attached = {true},
 profile_id = {2331788d-b144-3e67-ab8c-4abd7ab569c5},
 last_modified = {2018-01-26T05:04:20.397Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Girdhar:ICRA:2010},
 source_type = {inproceedings},
 folder_uuids = {9fe02bf3-6f9f-4e86-a6e6-c0190f2a6db9},
 private_publication = {false},
 abstract = {Our objective is to find a small set of images that summarize a robot's visual experience along a path. We present a novel on-line algorithm for this task. This algorithm is based on a new extension to the classical Secretaries Problem. We also present an extension to the idea of Bayesian Surprise, which we then use to measure the fitness of an image as a summary image.},
 bibtype = {inproceedings},
 author = {Girdhar, Yogesh and Dudek, Gregory},
 doi = {10.1109/ROBOT.2010.5509464},
 booktitle = {IEEE International Conference on Robotics and Automation (ICRA)}
}

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