@inproceedings{ba5860edcd674bb88ab8c57b4dfd999f,
title = "Collaborative detection of common lines in cryo EM images using maximum likelihood",
abstract = "This paper presents a maximum likelihood (ML) algorithm for detecting (shared) common lines between pairs of cryo-EM projection images. The algorithm is based on a global iterative detector in which we jointly estimate and classify common lines using the data from all projection images. We demonstrate by simulations that the algorithm improves the detection rate of common lines compared to state of the art methods, and operates well even with non white imaging noise.",
author = "Mor Cohen and Yoel Shkolnisky and Arie Yeredor",
note = "Publisher Copyright: {\textcopyright} Copyright 2015 IEEE All rights reserved.; 2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2014",
doi = "https://doi.org/10.1109/EEEI.2014.7005782",
language = "الإنجليزيّة",
series = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014",
address = "الولايات المتّحدة",
}