'misspelled' visual words in unsupervised range data classification: the effect of noise on classification performance

Recent work in the domain of classification of point clouds has shown that topic models can be suitable tools for inferring class groupings in an unsupervised manner. However, point clouds are frequently subject to non-negligible amounts of sensor noise. In this paper, we analyze the effect on class...

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Bibliographic Details
Published in2011 IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 3850 - 3855
Main Authors Firman, Michael, Julier, Simon
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
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ISBN1612844545
9781612844541
ISSN2153-0858
DOI10.1109/IROS.2011.6095016

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