Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-26T16:26:42.419Z Has data issue: false hasContentIssue false

Bayesian Approaches to Finding the Needles in the Microscopy Haystack

Published online by Cambridge University Press:  30 July 2021

Joseph Simpson
Affiliation:
ORNL, United States
Donovan Leonard
Affiliation:
ORNL, United States
Chad Parish
Affiliation:
ORNL, United States

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Full System and Workflow Automation for Enabling Big Data and Machine Learning in Electron Microscopy
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Teh, Y. W., “Dirichlet Process.” 2010.Google Scholar
[2] Vlachos, A., Ghahramani, Z., and Korhonen, A., “Dirichlet Process Mixture Models for Verb Clustering,” Proc. ICML Work. Prior Knowl. Text Lang. Process. Helsinki, Finl., pp. 1–6, 2008, [Online]. Available: papers3://publication/uuid/612EDB87-A804-46C9-8254-BF5351273773.Google Scholar
Sethuraman, J., “A CONSTRUCTIVE DEFINITION OF DIRICHLET PRIORS,” Inst. Stat. Sci., vol. 4, no. 2, pp. 639650, 1994.Google Scholar
Kurihara, K., Welling, M., and Teh, Y. W., “Collapsed variational dirichlet process mixture models,” IJCAI Int. Jt. Conf. Artif. Intell., pp. 27962801, 2007.Google Scholar
Bouman, C. A., “Cluster: An unsupervised algorithm for modeling Gaussian mixtures.” 1997.Google Scholar