Building a Robust Detector Algorithm: Application of Bayesian, Nonparametric, and Poisson Methods to Improve Photon De-noising - Robotics Institute Carnegie Mellon University

Building a Robust Detector Algorithm: Application of Bayesian, Nonparametric, and Poisson Methods to Improve Photon De-noising

Prateek Tandon, Peter Huggins, Artur Dubrawski, Simon Labov, and Karl Nelson
Workshop Paper, NeurIPS '15 Aleph Workshop on Machine Learning for Experimental Physics, December, 2015

BibTeX

@workshop{Tandon-2015-121843,
author = {Prateek Tandon and Peter Huggins and Artur Dubrawski and Simon Labov and Karl Nelson},
title = {Building a Robust Detector Algorithm: Application of Bayesian, Nonparametric, and Poisson Methods to Improve Photon De-noising},
booktitle = {Proceedings of NeurIPS '15 Aleph Workshop on Machine Learning for Experimental Physics},
year = {2015},
month = {December},
}