%0 Conference Paper %1 conf/iros/LiOAEJ16 %A Li, Jie %A Ozog, Paul %A Abernethy, Jacob D. %A Eustice, Ryan M. %A Johnson-Roberson, Matthew %B IROS %D 2016 %I IEEE %K dblp %P 1230-1237 %T Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation. %U http://dblp.uni-trier.de/db/conf/iros/iros2016.html#LiOAEJ16 %@ 978-1-5090-3762-9

@inproceedings{conf/iros/LiOAEJ16, added-at = {2018-08-20T00:00:00.000+0200}, author = {Li, Jie and Ozog, Paul and Abernethy, Jacob D. and Eustice, Ryan M. and Johnson-Roberson, Matthew}, biburl = {https://www.bibsonomy.org/bibtex/2148bca261724ba46e188139b9434789d/dblp}, booktitle = {IROS}, crossref = {conf/iros/2016}, ee = {https://doi.org/10.1109/IROS.2016.7759205}, interhash = {38bc759f1ff7c165631735e905f25e9d}, intrahash = {148bca261724ba46e188139b9434789d}, isbn = {978-1-5090-3762-9}, keywords = {dblp}, pages = {1230-1237}, publisher = {IEEE}, timestamp = {2019-10-17T14:22:56.000+0200}, title = {Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation.}, url = {http://dblp.uni-trier.de/db/conf/iros/iros2016.html#LiOAEJ16}, year = 2016 }