Serim Park, Matthew Thorpe. Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint. In 2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018. pages 7864-7872, IEEE Computer Society, 2018. [doi]
@inproceedings{ParkT18,
title = {Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint},
author = {Serim Park and Matthew Thorpe},
year = {2018},
url = {http://openaccess.thecvf.com/content_cvpr_2018/html/Park_Representing_and_Learning_CVPR_2018_paper.html},
researchr = {https://researchr.org/publication/ParkT18},
cites = {0},
citedby = {0},
pages = {7864-7872},
booktitle = {2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018},
publisher = {IEEE Computer Society},
}