Michael Werman, Daniel Keren. A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data. In 1999 Conference on Computer Vision and Pattern Recognition (CVPR 99), 23-25 June 1999, Ft. Collins, CO, USA. pages 2552-2558, IEEE Computer Society, 1999. [doi]
@inproceedings{WermanK99,
title = {A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data},
author = {Michael Werman and Daniel Keren},
year = {1999},
url = {http://computer.org/proceedings/cvpr/0149/volume2/01492552abs.htm},
tags = {data-flow},
researchr = {https://researchr.org/publication/WermanK99},
cites = {0},
citedby = {0},
pages = {2552-2558},
booktitle = {1999 Conference on Computer Vision and Pattern Recognition (CVPR 99), 23-25 June 1999, Ft. Collins, CO, USA},
publisher = {IEEE Computer Society},
isbn = {0-7695-0149-4},
}