GR2T vs L2E with Nuisance Scale. Dahyot, R. In 2014 22nd International Conference on Pattern Recognition, pages 3857-3861, Aug, 2014.
GR2T vs L2E with Nuisance Scale [pdf]Paper  doi  abstract   bibtex   
We compare the objective functions used by GR2T and the L2E estimator that have both been proposed for robust parameter estimation. We show their similarity when estimating location parameters. Of particular interest is their ability for dealing with the scale parameter that is often unknown and acts as a nuisance parameter. Both techniques are tested experimentally for regression (e.g. to find patterns such as line and circle in noisy datasets) and for registration between datasets.
@inproceedings{ICPR2014Dahyot, 
author= {R. Dahyot}, 
booktitle= {2014 22nd International Conference on Pattern Recognition}, 
title= {GR2T vs L2E with Nuisance Scale}, year= {2014}, volume= {}, 
url={https://roznn.github.io/PDF/RzDICPR2014.pdf},
number= {}, pages= {3857-3861}, 
keywords= {Radon transforms;regression analysis;GR2T;L2E;generalized relaxed Radon transform;nuisance scale;regression analysis;robust parameter estimation;scale parameter;Equations;Estimation;Mathematical model;Noise;Pattern recognition;Robustness;Transforms},
 doi= {10.1109/ICPR.2014.662},
abstract={We compare the objective functions used by GR2T and the L2E estimator  
that have both been proposed for robust parameter estimation. We show their similarity when estimating location parameters.
 Of particular interest is their ability for dealing with the scale parameter that is often unknown and acts as a nuisance parameter. 
Both techniques are tested experimentally for regression (e.g. to find patterns such as line 
and circle in noisy datasets) and for registration between datasets.}, 
 ISSN= {1051-4651}, month= {Aug}}
Downloads: 0