@inproceedings{7327590b35fe4ab7ba45cd6a8b2f77c5,
title = "Combining computer and human vision into a BCI: Can the whole be greater than the sum of its parts?",
abstract = "Our group has been investigating the development of BCI systems for improving information delivery to a user, specifically systems for triaging image content based on what captures a user's attention. One of the systems we have developed uses single-trial EEG scores as noisy labels for a computer vision image retrieval system. In this paper we investigate how the noisy nature of the EEG-derived labels affects the resulting accuracy of the computer vision system. Specifically, we consider how the precision of the EEG scores affects the resulting precision of images retrieved by a graphbased transductive learning model designed to propagate image class labels based on image feature similarity and sparse labels.",
author = "Pohlmeyer, \{Eric A.\} and Jangraw, \{David C.\} and Jun Wang and Chang, \{Shih Fu\} and Paul Sajda",
year = "2010",
doi = "10.1109/IEMBS.2010.5627403",
language = "英语",
isbn = "9781424441235",
series = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
pages = "138--141",
booktitle = "2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10",
note = "2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 ; Conference date: 31-08-2010 Through 04-09-2010",
}